---
_id: '7343'
abstract:
- lang: eng
text: Coinfections with multiple pathogens can result in complex within‐host dynamics
affecting virulence and transmission. While multiple infections are intensively
studied in solitary hosts, it is so far unresolved how social host interactions
interfere with pathogen competition, and if this depends on coinfection diversity.
We studied how the collective disease defences of ants – their social immunity
– influence pathogen competition in coinfections of same or different fungal pathogen
species. Social immunity reduced virulence for all pathogen combinations, but
interfered with spore production only in different‐species coinfections. Here,
it decreased overall pathogen sporulation success while increasing co‐sporulation
on individual cadavers and maintaining a higher pathogen diversity at the community
level. Mathematical modelling revealed that host sanitary care alone can modulate
competitive outcomes between pathogens, giving advantage to fast‐germinating,
thus less grooming‐sensitive ones. Host social interactions can hence modulate
infection dynamics in coinfected group members, thereby altering pathogen communities
at the host level and population level.
acknowledged_ssus:
- _id: LifeSc
acknowledgement: "We thank Bernhardt Steinwender and Jorgen Eilenberg for the fungal
strains, Xavier Espadaler, Mireia Diaz, Christiane Wanke, Lumi Viljakainen and the
Social Immunity Team at IST Austria, for help with ant collection, and Wanda Gorecka
and Gertraud Stift of the IST Austria Life Science Facility for technical support.
We are thankful to Dieter Ebert for input at all stages of the project, Roger Mundry
for statistical advice, Hinrich Schulenburg, Paul Schmid-Hempel, Yuko\r\nUlrich
and Joachim Kurtz for project discussion, Bor Kavcic for advice on growth curves,
Marcus Roper for advice on modelling work and comments on the manuscript, as well
as Marjon de Vos, Weini Huang and the Social Immunity Team for comments on the manuscript.\r\nThis
study was funded by the German Research Foundation (DFG) within the Priority Programme
1399 Host-parasite Coevolution (CR 118/3 to S.C.) and the People Programme\r\n(Marie
Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013)
under REA grant agreement no 291734 (ISTFELLOW to B.M.). "
article_processing_charge: Yes (via OA deal)
article_type: letter_note
author:
- first_name: Barbara
full_name: Milutinovic, Barbara
id: 2CDC32B8-F248-11E8-B48F-1D18A9856A87
last_name: Milutinovic
orcid: 0000-0002-8214-4758
- first_name: Miriam
full_name: Stock, Miriam
id: 42462816-F248-11E8-B48F-1D18A9856A87
last_name: Stock
- first_name: Anna V
full_name: Grasse, Anna V
id: 406F989C-F248-11E8-B48F-1D18A9856A87
last_name: Grasse
- first_name: Elisabeth
full_name: Naderlinger, Elisabeth
id: 31757262-F248-11E8-B48F-1D18A9856A87
last_name: Naderlinger
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: Milutinovic B, Stock M, Grasse AV, Naderlinger E, Hilbe C, Cremer S. Social
immunity modulates competition between coinfecting pathogens. Ecology Letters.
2020;23(3):565-574. doi:10.1111/ele.13458
apa: Milutinovic, B., Stock, M., Grasse, A. V., Naderlinger, E., Hilbe, C., &
Cremer, S. (2020). Social immunity modulates competition between coinfecting pathogens.
Ecology Letters. Wiley. https://doi.org/10.1111/ele.13458
chicago: Milutinovic, Barbara, Miriam Stock, Anna V Grasse, Elisabeth Naderlinger,
Christian Hilbe, and Sylvia Cremer. “Social Immunity Modulates Competition between
Coinfecting Pathogens.” Ecology Letters. Wiley, 2020. https://doi.org/10.1111/ele.13458.
ieee: B. Milutinovic, M. Stock, A. V. Grasse, E. Naderlinger, C. Hilbe, and S. Cremer,
“Social immunity modulates competition between coinfecting pathogens,” Ecology
Letters, vol. 23, no. 3. Wiley, pp. 565–574, 2020.
ista: Milutinovic B, Stock M, Grasse AV, Naderlinger E, Hilbe C, Cremer S. 2020.
Social immunity modulates competition between coinfecting pathogens. Ecology Letters.
23(3), 565–574.
mla: Milutinovic, Barbara, et al. “Social Immunity Modulates Competition between
Coinfecting Pathogens.” Ecology Letters, vol. 23, no. 3, Wiley, 2020, pp.
565–74, doi:10.1111/ele.13458.
short: B. Milutinovic, M. Stock, A.V. Grasse, E. Naderlinger, C. Hilbe, S. Cremer,
Ecology Letters 23 (2020) 565–574.
date_created: 2020-01-20T13:32:12Z
date_published: 2020-03-01T00:00:00Z
date_updated: 2023-09-05T16:04:49Z
day: '01'
ddc:
- '570'
department:
- _id: SyCr
- _id: KrCh
doi: 10.1111/ele.13458
ec_funded: 1
external_id:
isi:
- '000507515900001'
file:
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checksum: 0cd8be386fa219db02845b7c3991ce04
content_type: application/pdf
creator: dernst
date_created: 2020-11-19T11:27:10Z
date_updated: 2020-11-19T11:27:10Z
file_id: '8776'
file_name: 2020_EcologyLetters_Milutinovic.pdf
file_size: 561749
relation: main_file
success: 1
file_date_updated: 2020-11-19T11:27:10Z
has_accepted_license: '1'
intvolume: ' 23'
isi: 1
issue: '3'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '03'
oa: 1
oa_version: Published Version
page: 565-574
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25DAF0B2-B435-11E9-9278-68D0E5697425
grant_number: CR-118/3-1
name: Host-Parasite Coevolution
publication: Ecology Letters
publication_identifier:
eissn:
- 1461-0248
issn:
- 1461-023X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/social-ants-shapes-disease-outcome/
record:
- id: '13060'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Social immunity modulates competition between coinfecting pathogens
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 23
year: '2020'
...
---
_id: '13060'
abstract:
- lang: eng
text: Coinfections with multiple pathogens can result in complex within-host dynamics
affecting virulence and transmission. Whilst multiple infections are intensively
studied in solitary hosts, it is so far unresolved how social host interactions
interfere with pathogen competition, and if this depends on coinfection diversity.
We studied how the collective disease defenses of ants – their social immunity
– influence pathogen competition in coinfections of same or different fungal
pathogen species. Social immunity reduced virulence for all pathogen combinations,
but interfered with spore production only in different-species coinfections. Here,
it decreased overall pathogen sporulation success, whilst simultaneously increasing
co-sporulation on individual cadavers and maintaining a higher pathogen diversity
at the community-level. Mathematical modeling revealed that host sanitary care
alone can modulate competitive outcomes between pathogens, giving advantage to
fast-germinating, thus less grooming-sensitive ones. Host social interactions
can hence modulate infection dynamics in coinfected group members, thereby altering
pathogen communities at the host- and population-level.
article_processing_charge: No
author:
- first_name: Barbara
full_name: Milutinovic, Barbara
id: 2CDC32B8-F248-11E8-B48F-1D18A9856A87
last_name: Milutinovic
orcid: 0000-0002-8214-4758
- first_name: Miriam
full_name: Stock, Miriam
id: 42462816-F248-11E8-B48F-1D18A9856A87
last_name: Stock
- first_name: Anna V
full_name: Grasse, Anna V
id: 406F989C-F248-11E8-B48F-1D18A9856A87
last_name: Grasse
- first_name: Elisabeth
full_name: Naderlinger, Elisabeth
id: 31757262-F248-11E8-B48F-1D18A9856A87
last_name: Naderlinger
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: Milutinovic B, Stock M, Grasse AV, Naderlinger E, Hilbe C, Cremer S. Social
immunity modulates competition between coinfecting pathogens. 2020. doi:10.5061/DRYAD.CRJDFN318
apa: Milutinovic, B., Stock, M., Grasse, A. V., Naderlinger, E., Hilbe, C., &
Cremer, S. (2020). Social immunity modulates competition between coinfecting pathogens.
Dryad. https://doi.org/10.5061/DRYAD.CRJDFN318
chicago: Milutinovic, Barbara, Miriam Stock, Anna V Grasse, Elisabeth Naderlinger,
Christian Hilbe, and Sylvia Cremer. “Social Immunity Modulates Competition between
Coinfecting Pathogens.” Dryad, 2020. https://doi.org/10.5061/DRYAD.CRJDFN318.
ieee: B. Milutinovic, M. Stock, A. V. Grasse, E. Naderlinger, C. Hilbe, and S. Cremer,
“Social immunity modulates competition between coinfecting pathogens.” Dryad,
2020.
ista: Milutinovic B, Stock M, Grasse AV, Naderlinger E, Hilbe C, Cremer S. 2020.
Social immunity modulates competition between coinfecting pathogens, Dryad, 10.5061/DRYAD.CRJDFN318.
mla: Milutinovic, Barbara, et al. Social Immunity Modulates Competition between
Coinfecting Pathogens. Dryad, 2020, doi:10.5061/DRYAD.CRJDFN318.
short: B. Milutinovic, M. Stock, A.V. Grasse, E. Naderlinger, C. Hilbe, S. Cremer,
(2020).
date_created: 2023-05-23T16:11:22Z
date_published: 2020-12-19T00:00:00Z
date_updated: 2023-09-05T16:04:48Z
day: '19'
ddc:
- '570'
department:
- _id: SyCr
- _id: KrCh
doi: 10.5061/DRYAD.CRJDFN318
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.crjdfn318
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '7343'
relation: used_in_publication
status: public
status: public
title: Social immunity modulates competition between coinfecting pathogens
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8193'
abstract:
- lang: eng
text: 'Multiple-environment Markov decision processes (MEMDPs) are MDPs equipped
with not one, but multiple probabilistic transition functions, which represent
the various possible unknown environments. While the previous research on MEMDPs
focused on theoretical properties for long-run average payoff, we study them with
discounted-sum payoff and focus on their practical advantages and applications.
MEMDPs can be viewed as a special case of Partially observable and Mixed observability
MDPs: the state of the system is perfectly observable, but not the environment.
We show that the specific structure of MEMDPs allows for more efficient algorithmic
analysis, in particular for faster belief updates. We demonstrate the applicability
of MEMDPs in several domains. In particular, we formalize the sequential decision-making
approach to contextual recommendation systems as MEMDPs and substantially improve
over the previous MDP approach.'
acknowledgement: Krishnendu Chatterjee is supported by the Austrian ScienceFund (FWF)
NFN Grant No. S11407-N23 (RiSE/SHiNE),and COST Action GAMENET. Petr Novotn ́y is
supported bythe Czech Science Foundation grant No. GJ19-15134Y.
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Chmelik, Martin
id: 3624234E-F248-11E8-B48F-1D18A9856A87
last_name: Chmelik
- first_name: Deep
full_name: Karkhanis, Deep
last_name: Karkhanis
- first_name: Petr
full_name: Novotný, Petr
id: 3CC3B868-F248-11E8-B48F-1D18A9856A87
last_name: Novotný
- first_name: Amélie
full_name: Royer, Amélie
id: 3811D890-F248-11E8-B48F-1D18A9856A87
last_name: Royer
orcid: 0000-0002-8407-0705
citation:
ama: 'Chatterjee K, Chmelik M, Karkhanis D, Novotný P, Royer A. Multiple-environment
Markov decision processes: Efficient analysis and applications. In: Proceedings
of the 30th International Conference on Automated Planning and Scheduling.
Vol 30. Association for the Advancement of Artificial Intelligence; 2020:48-56.'
apa: 'Chatterjee, K., Chmelik, M., Karkhanis, D., Novotný, P., & Royer, A. (2020).
Multiple-environment Markov decision processes: Efficient analysis and applications.
In Proceedings of the 30th International Conference on Automated Planning and
Scheduling (Vol. 30, pp. 48–56). Nancy, France: Association for the Advancement
of Artificial Intelligence.'
chicago: 'Chatterjee, Krishnendu, Martin Chmelik, Deep Karkhanis, Petr Novotný,
and Amélie Royer. “Multiple-Environment Markov Decision Processes: Efficient Analysis
and Applications.” In Proceedings of the 30th International Conference on Automated
Planning and Scheduling, 30:48–56. Association for the Advancement of Artificial
Intelligence, 2020.'
ieee: 'K. Chatterjee, M. Chmelik, D. Karkhanis, P. Novotný, and A. Royer, “Multiple-environment
Markov decision processes: Efficient analysis and applications,” in Proceedings
of the 30th International Conference on Automated Planning and Scheduling,
Nancy, France, 2020, vol. 30, pp. 48–56.'
ista: 'Chatterjee K, Chmelik M, Karkhanis D, Novotný P, Royer A. 2020. Multiple-environment
Markov decision processes: Efficient analysis and applications. Proceedings of
the 30th International Conference on Automated Planning and Scheduling. ICAPS:
International Conference on Automated Planning and Scheduling vol. 30, 48–56.'
mla: 'Chatterjee, Krishnendu, et al. “Multiple-Environment Markov Decision Processes:
Efficient Analysis and Applications.” Proceedings of the 30th International
Conference on Automated Planning and Scheduling, vol. 30, Association for
the Advancement of Artificial Intelligence, 2020, pp. 48–56.'
short: K. Chatterjee, M. Chmelik, D. Karkhanis, P. Novotný, A. Royer, in:, Proceedings
of the 30th International Conference on Automated Planning and Scheduling, Association
for the Advancement of Artificial Intelligence, 2020, pp. 48–56.
conference:
end_date: 2020-10-30
location: Nancy, France
name: 'ICAPS: International Conference on Automated Planning and Scheduling'
start_date: 2020-10-26
date_created: 2020-08-02T22:00:58Z
date_published: 2020-06-01T00:00:00Z
date_updated: 2023-09-07T13:16:18Z
day: '01'
department:
- _id: KrCh
intvolume: ' 30'
language:
- iso: eng
month: '06'
oa_version: None
page: 48-56
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Proceedings of the 30th International Conference on Automated Planning
and Scheduling
publication_identifier:
eissn:
- '23340843'
issn:
- '23340835'
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
related_material:
record:
- id: '8390'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'Multiple-environment Markov decision processes: Efficient analysis and applications'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2020'
...
---
_id: '8272'
abstract:
- lang: eng
text: We study turn-based stochastic zero-sum games with lexicographic preferences
over reachability and safety objectives. Stochastic games are standard models
in control, verification, and synthesis of stochastic reactive systems that exhibit
both randomness as well as angelic and demonic non-determinism. Lexicographic
order allows to consider multiple objectives with a strict preference order over
the satisfaction of the objectives. To the best of our knowledge, stochastic games
with lexicographic objectives have not been studied before. We establish determinacy
of such games and present strategy and computational complexity results. For strategy
complexity, we show that lexicographically optimal strategies exist that are deterministic
and memory is only required to remember the already satisfied and violated objectives.
For a constant number of objectives, we show that the relevant decision problem
is in NP∩coNP , matching the current known bound for single objectives; and
in general the decision problem is PSPACE -hard and can be solved in NEXPTIME∩coNEXPTIME
. We present an algorithm that computes the lexicographically optimal strategies
via a reduction to computation of optimal strategies in a sequence of single-objectives
games. We have implemented our algorithm and report experimental results on various
case studies.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Joost P
full_name: Katoen, Joost P
id: 4524F760-F248-11E8-B48F-1D18A9856A87
last_name: Katoen
- first_name: Maximilian
full_name: Weininger, Maximilian
last_name: Weininger
- first_name: Tobias
full_name: Winkler, Tobias
last_name: Winkler
citation:
ama: 'Chatterjee K, Katoen JP, Weininger M, Winkler T. Stochastic games with lexicographic
reachability-safety objectives. In: International Conference on Computer Aided
Verification. Vol 12225. Springer Nature; 2020:398-420. doi:10.1007/978-3-030-53291-8_21'
apa: Chatterjee, K., Katoen, J. P., Weininger, M., & Winkler, T. (2020). Stochastic
games with lexicographic reachability-safety objectives. In International Conference
on Computer Aided Verification (Vol. 12225, pp. 398–420). Springer Nature.
https://doi.org/10.1007/978-3-030-53291-8_21
chicago: Chatterjee, Krishnendu, Joost P Katoen, Maximilian Weininger, and Tobias
Winkler. “Stochastic Games with Lexicographic Reachability-Safety Objectives.”
In International Conference on Computer Aided Verification, 12225:398–420.
Springer Nature, 2020. https://doi.org/10.1007/978-3-030-53291-8_21.
ieee: K. Chatterjee, J. P. Katoen, M. Weininger, and T. Winkler, “Stochastic games
with lexicographic reachability-safety objectives,” in International Conference
on Computer Aided Verification, 2020, vol. 12225, pp. 398–420.
ista: 'Chatterjee K, Katoen JP, Weininger M, Winkler T. 2020. Stochastic games with
lexicographic reachability-safety objectives. International Conference on Computer
Aided Verification. CAV: Computer Aided Verification, LNCS, vol. 12225, 398–420.'
mla: Chatterjee, Krishnendu, et al. “Stochastic Games with Lexicographic Reachability-Safety
Objectives.” International Conference on Computer Aided Verification, vol.
12225, Springer Nature, 2020, pp. 398–420, doi:10.1007/978-3-030-53291-8_21.
short: K. Chatterjee, J.P. Katoen, M. Weininger, T. Winkler, in:, International
Conference on Computer Aided Verification, Springer Nature, 2020, pp. 398–420.
conference:
name: 'CAV: Computer Aided Verification'
date_created: 2020-08-16T22:00:58Z
date_published: 2020-07-14T00:00:00Z
date_updated: 2023-10-03T11:36:13Z
day: '14'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-53291-8_21
ec_funded: 1
external_id:
arxiv:
- '2005.04018'
isi:
- '000695272500021'
file:
- access_level: open_access
checksum: 093d4788d7d5b2ce0ffe64fbe7820043
content_type: application/pdf
creator: dernst
date_created: 2020-08-17T11:32:44Z
date_updated: 2020-08-17T11:32:44Z
file_id: '8276'
file_name: 2020_LNCS_CAV_Chatterjee.pdf
file_size: 625056
relation: main_file
success: 1
file_date_updated: 2020-08-17T11:32:44Z
has_accepted_license: '1'
intvolume: ' 12225'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
page: 398-420
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: International Conference on Computer Aided Verification
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030532901'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12738'
relation: later_version
status: public
scopus_import: '1'
status: public
title: Stochastic games with lexicographic reachability-safety objectives
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12225
year: '2020'
...
---
_id: '8671'
abstract:
- lang: eng
text: 'We study relations between evidence theory and S-approximation spaces. Both
theories have their roots in the analysis of Dempsterchr(''39'')s multivalued
mappings and lower and upper probabilities, and have close relations to rough
sets. We show that an S-approximation space, satisfying a monotonicity condition,
can induce a natural belief structure which is a fundamental block in evidence
theory. We also demonstrate that one can induce a natural belief structure on
one set, given a belief structure on another set, if the two sets are related
by a partial monotone S-approximation space. '
acknowledgement: We are very grateful to the anonymous reviewer for detailed comments
and suggestions that significantly improved the presentation of this paper. The
research was partially supported by a DOC fellowship of the Austrian Academy of
Sciences.
article_processing_charge: No
article_type: original
author:
- first_name: A.
full_name: Shakiba, A.
last_name: Shakiba
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: M.R.
full_name: Hooshmandasl, M.R.
last_name: Hooshmandasl
- first_name: M.
full_name: Alambardar Meybodi, M.
last_name: Alambardar Meybodi
citation:
ama: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. A note on
belief structures and s-approximation spaces. Iranian Journal of Mathematical
Sciences and Informatics. 2020;15(2):117-128. doi:10.29252/ijmsi.15.2.117
apa: Shakiba, A., Goharshady, A. K., Hooshmandasl, M. R., & Alambardar Meybodi,
M. (2020). A note on belief structures and s-approximation spaces. Iranian
Journal of Mathematical Sciences and Informatics. Iranian Academic Center
for Education, Culture and Research. https://doi.org/10.29252/ijmsi.15.2.117
chicago: Shakiba, A., Amir Kafshdar Goharshady, M.R. Hooshmandasl, and M. Alambardar
Meybodi. “A Note on Belief Structures and S-Approximation Spaces.” Iranian
Journal of Mathematical Sciences and Informatics. Iranian Academic Center
for Education, Culture and Research, 2020. https://doi.org/10.29252/ijmsi.15.2.117.
ieee: A. Shakiba, A. K. Goharshady, M. R. Hooshmandasl, and M. Alambardar Meybodi,
“A note on belief structures and s-approximation spaces,” Iranian Journal of
Mathematical Sciences and Informatics, vol. 15, no. 2. Iranian Academic Center
for Education, Culture and Research, pp. 117–128, 2020.
ista: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. 2020. A note
on belief structures and s-approximation spaces. Iranian Journal of Mathematical
Sciences and Informatics. 15(2), 117–128.
mla: Shakiba, A., et al. “A Note on Belief Structures and S-Approximation Spaces.”
Iranian Journal of Mathematical Sciences and Informatics, vol. 15, no.
2, Iranian Academic Center for Education, Culture and Research, 2020, pp. 117–28,
doi:10.29252/ijmsi.15.2.117.
short: A. Shakiba, A.K. Goharshady, M.R. Hooshmandasl, M. Alambardar Meybodi, Iranian
Journal of Mathematical Sciences and Informatics 15 (2020) 117–128.
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-10-16T09:25:00Z
day: '01'
ddc:
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doi: 10.29252/ijmsi.15.2.117
external_id:
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- '1805.10672'
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name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies
publication: Iranian Journal of Mathematical Sciences and Informatics
publication_identifier:
eissn:
- 2008-9473
issn:
- 1735-4463
publication_status: published
publisher: Iranian Academic Center for Education, Culture and Research
quality_controlled: '1'
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title: A note on belief structures and s-approximation spaces
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2020'
...
---
_id: '7212'
abstract:
- lang: eng
text: The fixation probability of a single mutant invading a population of residents
is among the most widely-studied quantities in evolutionary dynamics. Amplifiers
of natural selection are population structures that increase the fixation probability
of advantageous mutants, compared to well-mixed populations. Extensive studies
have shown that many amplifiers exist for the Birth-death Moran process, some
of them substantially increasing the fixation probability or even guaranteeing
fixation in the limit of large population size. On the other hand, no amplifiers
are known for the death-Birth Moran process, and computer-assisted exhaustive
searches have failed to discover amplification. In this work we resolve this disparity,
by showing that any amplification under death-Birth updating is necessarily bounded
and transient. Our boundedness result states that even if a population structure
does amplify selection, the resulting fixation probability is close to that of
the well-mixed population. Our transience result states that for any population
structure there exists a threshold r⋆ such that the population structure ceases
to amplify selection if the mutant fitness advantage r is larger than r⋆. Finally,
we also extend the above results to δ-death-Birth updating, which is a combination
of Birth-death and death-Birth updating. On the positive side, we identify population
structures that maintain amplification for a wide range of values r and δ. These
results demonstrate that amplification of natural selection depends on the specific
mechanisms of the evolutionary process.
article_number: e1007494
article_processing_charge: No
article_type: original
author:
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Tkadlec J, Pavlogiannis A, Chatterjee K, Nowak MA. Limits on amplifiers of
natural selection under death-Birth updating. PLoS computational biology.
2020;16. doi:10.1371/journal.pcbi.1007494
apa: Tkadlec, J., Pavlogiannis, A., Chatterjee, K., & Nowak, M. A. (2020). Limits
on amplifiers of natural selection under death-Birth updating. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007494
chicago: Tkadlec, Josef, Andreas Pavlogiannis, Krishnendu Chatterjee, and Martin
A. Nowak. “Limits on Amplifiers of Natural Selection under Death-Birth Updating.”
PLoS Computational Biology. Public Library of Science, 2020. https://doi.org/10.1371/journal.pcbi.1007494.
ieee: J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Limits on amplifiers
of natural selection under death-Birth updating,” PLoS computational biology,
vol. 16. Public Library of Science, 2020.
ista: Tkadlec J, Pavlogiannis A, Chatterjee K, Nowak MA. 2020. Limits on amplifiers
of natural selection under death-Birth updating. PLoS computational biology. 16,
e1007494.
mla: Tkadlec, Josef, et al. “Limits on Amplifiers of Natural Selection under Death-Birth
Updating.” PLoS Computational Biology, vol. 16, e1007494, Public Library
of Science, 2020, doi:10.1371/journal.pcbi.1007494.
short: J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, PLoS Computational
Biology 16 (2020).
date_created: 2019-12-23T13:45:11Z
date_published: 2020-01-17T00:00:00Z
date_updated: 2023-10-17T12:29:47Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1371/journal.pcbi.1007494
ec_funded: 1
external_id:
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call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
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call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
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call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: PLoS computational biology
publication_identifier:
eissn:
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publication_status: published
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scopus_import: '1'
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title: Limits on amplifiers of natural selection under death-Birth updating
tmp:
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name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 16
year: '2020'
...
---
_id: '7196'
abstract:
- lang: eng
text: 'In this thesis we study certain mathematical aspects of evolution. The two
primary forces that drive an evolutionary process are mutation and selection.
Mutation generates new variants in a population. Selection chooses among the variants
depending on the reproductive rates of individuals. Evolutionary processes are
intrinsically random – a new mutation that is initially present in the population
at low frequency can go extinct, even if it confers a reproductive advantage.
The overall rate of evolution is largely determined by two quantities: the probability
that an invading advantageous mutation spreads through the population (called
fixation probability) and the time until it does so (called fixation time). Both
those quantities crucially depend not only on the strength of the invading mutation
but also on the population structure. In this thesis, we aim to understand how
the underlying population structure affects the overall rate of evolution. Specifically,
we study population structures that increase the fixation probability of advantageous
mutants (called amplifiers of selection). Broadly speaking, our results are of
three different types: We present various strong amplifiers, we identify regimes
under which only limited amplification is feasible, and we propose population
structures that provide different tradeoffs between high fixation probability
and short fixation time.'
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
citation:
ama: Tkadlec J. A role of graphs in evolutionary processes. 2020. doi:10.15479/AT:ISTA:7196
apa: Tkadlec, J. (2020). A role of graphs in evolutionary processes. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:7196
chicago: Tkadlec, Josef. “A Role of Graphs in Evolutionary Processes.” Institute
of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:7196.
ieee: J. Tkadlec, “A role of graphs in evolutionary processes,” Institute of Science
and Technology Austria, 2020.
ista: Tkadlec J. 2020. A role of graphs in evolutionary processes. Institute of
Science and Technology Austria.
mla: Tkadlec, Josef. A Role of Graphs in Evolutionary Processes. Institute
of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:7196.
short: J. Tkadlec, A Role of Graphs in Evolutionary Processes, Institute of Science
and Technology Austria, 2020.
date_created: 2019-12-20T12:26:36Z
date_published: 2020-01-12T00:00:00Z
date_updated: 2023-10-17T12:29:46Z
day: '12'
ddc:
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department:
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- _id: GradSch
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file_name: 2020_Tkadlec_Thesis.pdf
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eissn:
- 2663-337X
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publisher: Institute of Science and Technology Austria
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status: public
- id: '5751'
relation: dissertation_contains
status: public
- id: '7212'
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status: public
status: public
supervisor:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
title: A role of graphs in evolutionary processes
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '9814'
abstract:
- lang: eng
text: Data and mathematica notebooks for plotting figures from Language learning
with communication between learners
article_processing_charge: No
author:
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. Data and mathematica notebooks
for plotting figures from language learning with communication between learners
from language acquisition with communication between learners. 2020. doi:10.6084/m9.figshare.5973013.v1
apa: Ibsen-Jensen, R., Tkadlec, J., Chatterjee, K., & Nowak, M. (2020). Data
and mathematica notebooks for plotting figures from language learning with communication
between learners from language acquisition with communication between learners.
Royal Society. https://doi.org/10.6084/m9.figshare.5973013.v1
chicago: Ibsen-Jensen, Rasmus, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. “Data and Mathematica Notebooks for Plotting Figures from Language Learning
with Communication between Learners from Language Acquisition with Communication
between Learners.” Royal Society, 2020. https://doi.org/10.6084/m9.figshare.5973013.v1.
ieee: R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. Nowak, “Data and mathematica
notebooks for plotting figures from language learning with communication between
learners from language acquisition with communication between learners.” Royal
Society, 2020.
ista: Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. 2020. Data and mathematica
notebooks for plotting figures from language learning with communication between
learners from language acquisition with communication between learners, Royal
Society, 10.6084/m9.figshare.5973013.v1.
mla: Ibsen-Jensen, Rasmus, et al. Data and Mathematica Notebooks for Plotting
Figures from Language Learning with Communication between Learners from Language
Acquisition with Communication between Learners. Royal Society, 2020, doi:10.6084/m9.figshare.5973013.v1.
short: R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, M. Nowak, (2020).
date_created: 2021-08-06T13:09:57Z
date_published: 2020-10-15T00:00:00Z
date_updated: 2023-10-18T06:36:00Z
day: '15'
department:
- _id: KrCh
doi: 10.6084/m9.figshare.5973013.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.5973013.v1
month: '10'
oa: 1
oa_version: Published Version
publisher: Royal Society
related_material:
record:
- id: '198'
relation: used_in_publication
status: public
status: public
title: Data and mathematica notebooks for plotting figures from language learning
with communication between learners from language acquisition with communication
between learners
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2020'
...
---
_id: '8324'
abstract:
- lang: eng
text: The notion of program sensitivity (aka Lipschitz continuity) specifies that
changes in the program input result in proportional changes to the program output.
For probabilistic programs the notion is naturally extended to expected sensitivity.
A previous approach develops a relational program logic framework for proving
expected sensitivity of probabilistic while loops, where the number of iterations
is fixed and bounded. In this work, we consider probabilistic while loops where
the number of iterations is not fixed, but randomized and depends on the initial
input values. We present a sound approach for proving expected sensitivity of
such programs. Our sound approach is martingale-based and can be automated through
existing martingale-synthesis algorithms. Furthermore, our approach is compositional
for sequential composition of while loops under a mild side condition. We demonstrate
the effectiveness of our approach on several classical examples from Gambler's
Ruin, stochastic hybrid systems and stochastic gradient descent. We also present
experimental results showing that our automated approach can handle various probabilistic
programs in the literature.
acknowledgement: We thank anonymous reviewers for helpful comments, especially for
pointing to us a scenario of piecewise-linear approximation (Remark5). The research
was partially supported by the National Natural Science Foundation of China (NSFC)
under Grant No. 61802254, 61672229, 61832015,61772336,11871221 and Austrian Science
Fund (FWF) NFN under Grant No. S11407-N23 (RiSE/SHiNE). We thank Prof. Yuxi Fu,
director of the BASICS Lab at Shanghai Jiao Tong University, for his support.
article_number: '25'
article_processing_charge: No
author:
- first_name: Peixin
full_name: Wang, Peixin
last_name: Wang
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Yuxin
full_name: Deng, Yuxin
last_name: Deng
- first_name: Ming
full_name: Xu, Ming
last_name: Xu
citation:
ama: 'Wang P, Fu H, Chatterjee K, Deng Y, Xu M. Proving expected sensitivity of
probabilistic programs with randomized variable-dependent termination time. In:
Proceedings of the ACM on Programming Languages. Vol 4. ACM; 2020. doi:10.1145/3371093'
apa: Wang, P., Fu, H., Chatterjee, K., Deng, Y., & Xu, M. (2020). Proving expected
sensitivity of probabilistic programs with randomized variable-dependent termination
time. In Proceedings of the ACM on Programming Languages (Vol. 4). ACM.
https://doi.org/10.1145/3371093
chicago: Wang, Peixin, Hongfei Fu, Krishnendu Chatterjee, Yuxin Deng, and Ming Xu.
“Proving Expected Sensitivity of Probabilistic Programs with Randomized Variable-Dependent
Termination Time.” In Proceedings of the ACM on Programming Languages,
Vol. 4. ACM, 2020. https://doi.org/10.1145/3371093.
ieee: P. Wang, H. Fu, K. Chatterjee, Y. Deng, and M. Xu, “Proving expected sensitivity
of probabilistic programs with randomized variable-dependent termination time,”
in Proceedings of the ACM on Programming Languages, 2020, vol. 4, no. POPL.
ista: Wang P, Fu H, Chatterjee K, Deng Y, Xu M. 2020. Proving expected sensitivity
of probabilistic programs with randomized variable-dependent termination time.
Proceedings of the ACM on Programming Languages. vol. 4, 25.
mla: Wang, Peixin, et al. “Proving Expected Sensitivity of Probabilistic Programs
with Randomized Variable-Dependent Termination Time.” Proceedings of the ACM
on Programming Languages, vol. 4, no. POPL, 25, ACM, 2020, doi:10.1145/3371093.
short: P. Wang, H. Fu, K. Chatterjee, Y. Deng, M. Xu, in:, Proceedings of the ACM
on Programming Languages, ACM, 2020.
date_created: 2020-08-30T22:01:12Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2024-02-22T15:16:45Z
day: '01'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.1145/3371093
external_id:
arxiv:
- '1902.04744'
file:
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checksum: c6193d109ff4ecb17e7a6513d8eb34c0
content_type: application/pdf
creator: cziletti
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date_updated: 2020-09-01T11:12:58Z
file_id: '8328'
file_name: 2019_ACM_POPL_Wang.pdf
file_size: 564151
relation: main_file
success: 1
file_date_updated: 2020-09-01T11:12:58Z
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intvolume: ' 4'
issue: POPL
language:
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month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Proceedings of the ACM on Programming Languages
publication_identifier:
eissn:
- 2475-1421
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
link:
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url: https://doi.org/10.5281/zenodo.3533633
scopus_import: '1'
status: public
title: Proving expected sensitivity of probabilistic programs with randomized variable-dependent
termination time
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2020'
...
---
_id: '15055'
abstract:
- lang: eng
text: Markov decision processes (MDPs) are the defacto framework for sequential
decision making in the presence of stochastic uncertainty. A classical optimization
criterion for MDPs is to maximize the expected discounted-sum payoff, which ignores
low probability catastrophic events with highly negative impact on the system.
On the other hand, risk-averse policies require the probability of undesirable
events to be below a given threshold, but they do not account for optimization
of the expected payoff. We consider MDPs with discounted-sum payoff with failure
states which represent catastrophic outcomes. The objective of risk-constrained
planning is to maximize the expected discounted-sum payoff among risk-averse policies
that ensure the probability to encounter a failure state is below a desired threshold.
Our main contribution is an efficient risk-constrained planning algorithm that
combines UCT-like search with a predictor learned through interaction with the
MDP (in the style of AlphaZero) and with a risk-constrained action selection via
linear programming. We demonstrate the effectiveness of our approach with experiments
on classical MDPs from the literature, including benchmarks with an order of 106
states.
acknowledgement: Krishnendu Chatterjee is supported by the Austrian Science Fund (FWF)
NFN Grant No. S11407-N23 (RiSE/SHiNE), and COST Action GAMENET. Tomas Brazdil is
supported by the Grant Agency of Masaryk University grant no. MUNI/G/0739/2017 and
by the Czech Science Foundation grant No. 18-11193S. Petr Novotny and Jirı Vahala
are supported by the Czech Science Foundation grant No. GJ19-15134Y.
article_processing_charge: No
article_type: original
author:
- first_name: Tomáš
full_name: Brázdil, Tomáš
last_name: Brázdil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Petr
full_name: Novotný, Petr
last_name: Novotný
- first_name: Jiří
full_name: Vahala, Jiří
last_name: Vahala
citation:
ama: Brázdil T, Chatterjee K, Novotný P, Vahala J. Reinforcement learning of risk-constrained
policies in Markov decision processes. Proceedings of the 34th AAAI Conference
on Artificial Intelligence. 2020;34(06):9794-9801. doi:10.1609/aaai.v34i06.6531
apa: 'Brázdil, T., Chatterjee, K., Novotný, P., & Vahala, J. (2020). Reinforcement
learning of risk-constrained policies in Markov decision processes. Proceedings
of the 34th AAAI Conference on Artificial Intelligence. New York, NY, United
States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i06.6531'
chicago: Brázdil, Tomáš, Krishnendu Chatterjee, Petr Novotný, and Jiří Vahala. “Reinforcement
Learning of Risk-Constrained Policies in Markov Decision Processes.” Proceedings
of the 34th AAAI Conference on Artificial Intelligence. Association for the
Advancement of Artificial Intelligence, 2020. https://doi.org/10.1609/aaai.v34i06.6531.
ieee: T. Brázdil, K. Chatterjee, P. Novotný, and J. Vahala, “Reinforcement learning
of risk-constrained policies in Markov decision processes,” Proceedings of
the 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 06. Association
for the Advancement of Artificial Intelligence, pp. 9794–9801, 2020.
ista: Brázdil T, Chatterjee K, Novotný P, Vahala J. 2020. Reinforcement learning
of risk-constrained policies in Markov decision processes. Proceedings of the
34th AAAI Conference on Artificial Intelligence. 34(06), 9794–9801.
mla: Brázdil, Tomáš, et al. “Reinforcement Learning of Risk-Constrained Policies
in Markov Decision Processes.” Proceedings of the 34th AAAI Conference on Artificial
Intelligence, vol. 34, no. 06, Association for the Advancement of Artificial
Intelligence, 2020, pp. 9794–801, doi:10.1609/aaai.v34i06.6531.
short: T. Brázdil, K. Chatterjee, P. Novotný, J. Vahala, Proceedings of the 34th
AAAI Conference on Artificial Intelligence 34 (2020) 9794–9801.
conference:
end_date: 2020-02-12
location: New York, NY, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2020-02-07
date_created: 2024-03-04T08:07:22Z
date_published: 2020-04-03T00:00:00Z
date_updated: 2024-03-04T08:30:16Z
day: '03'
department:
- _id: KrCh
doi: 10.1609/aaai.v34i06.6531
external_id:
arxiv:
- '2002.12086'
intvolume: ' 34'
issue: '06'
keyword:
- General Medicine
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2002.12086
month: '04'
oa: 1
oa_version: Preprint
page: 9794-9801
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Proceedings of the 34th AAAI Conference on Artificial Intelligence
publication_identifier:
issn:
- 2374-3468
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
status: public
title: Reinforcement learning of risk-constrained policies in Markov decision processes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2020'
...
---
_id: '15082'
abstract:
- lang: eng
text: "Two plane drawings of geometric graphs on the same set of points are called
disjoint compatible if their union is plane and they do not have an edge in common.
For a given set S of 2n points two plane drawings of perfect matchings M1 and
M2 (which do not need to be disjoint nor compatible) are disjoint tree-compatible
if there exists a plane drawing of a spanning tree T on S which is disjoint compatible
to both M1 and M2.\r\nWe show that the graph of all disjoint tree-compatible perfect
geometric matchings on 2n points in convex position is connected if and only if
2n ≥ 10. Moreover, in that case the diameter\r\nof this graph is either 4 or 5,
independent of n."
acknowledgement: Research on this work was initiated at the 6th Austrian-Japanese-Mexican-Spanish
Workshop on Discrete Geometry and continued during the 16th European Geometric Graph-Week,
both held near Strobl, Austria. We are grateful to the participants for the inspiring
atmosphere. We especially thank Alexander Pilz for bringing this class of problems
to our attention and Birgit Vogtenhuber for inspiring discussions. D.P. is partially
supported by the FWF grant I 3340-N35 (Collaborative DACH project Arrangements and
Drawings). The research stay of P.P. at IST Austria is funded by the project CZ.02.2.69/0.0/0.0/17_050/0008466
Improvement of internationalization in the field of research and development at
Charles University, through the support of quality projects MSCA-IF. This project
has received funding from the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement No 734922.
article_number: '56'
article_processing_charge: No
author:
- first_name: Oswin
full_name: Aichholzer, Oswin
last_name: Aichholzer
- first_name: Julia
full_name: Obmann, Julia
last_name: Obmann
- first_name: Pavel
full_name: Patak, Pavel
id: B593B804-1035-11EA-B4F1-947645A5BB83
last_name: Patak
- first_name: Daniel
full_name: Perz, Daniel
last_name: Perz
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
citation:
ama: 'Aichholzer O, Obmann J, Patak P, Perz D, Tkadlec J. Disjoint tree-compatible
plane perfect matchings. In: 36th European Workshop on Computational Geometry.
; 2020.'
apa: Aichholzer, O., Obmann, J., Patak, P., Perz, D., & Tkadlec, J. (2020).
Disjoint tree-compatible plane perfect matchings. In 36th European Workshop
on Computational Geometry. Würzburg, Germany, Virtual.
chicago: Aichholzer, Oswin, Julia Obmann, Pavel Patak, Daniel Perz, and Josef Tkadlec.
“Disjoint Tree-Compatible Plane Perfect Matchings.” In 36th European Workshop
on Computational Geometry, 2020.
ieee: O. Aichholzer, J. Obmann, P. Patak, D. Perz, and J. Tkadlec, “Disjoint tree-compatible
plane perfect matchings,” in 36th European Workshop on Computational Geometry,
Würzburg, Germany, Virtual, 2020.
ista: 'Aichholzer O, Obmann J, Patak P, Perz D, Tkadlec J. 2020. Disjoint tree-compatible
plane perfect matchings. 36th European Workshop on Computational Geometry. EuroCG:
European Workshop on Computational Geometry, 56.'
mla: Aichholzer, Oswin, et al. “Disjoint Tree-Compatible Plane Perfect Matchings.”
36th European Workshop on Computational Geometry, 56, 2020.
short: O. Aichholzer, J. Obmann, P. Patak, D. Perz, J. Tkadlec, in:, 36th European
Workshop on Computational Geometry, 2020.
conference:
end_date: 2020-03-18
location: Würzburg, Germany, Virtual
name: 'EuroCG: European Workshop on Computational Geometry'
start_date: 2020-03-16
date_created: 2024-03-05T08:57:17Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2024-03-05T09:00:07Z
day: '01'
department:
- _id: KrCh
- _id: UlWa
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www1.pub.informatik.uni-wuerzburg.de/eurocg2020/data/uploads/papers/eurocg20_paper_56.pdf
month: '04'
oa: 1
oa_version: Published Version
publication: 36th European Workshop on Computational Geometry
publication_status: published
quality_controlled: '1'
status: public
title: Disjoint tree-compatible plane perfect matchings
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '7810'
abstract:
- lang: eng
text: "Interprocedural data-flow analyses form an expressive and useful paradigm
of numerous static analysis applications, such as live variables analysis, alias
analysis and null pointers analysis. The most widely-used framework for interprocedural
data-flow analysis is IFDS, which encompasses distributive data-flow functions
over a finite domain. On-demand data-flow analyses restrict the focus of the analysis
on specific program locations and data facts. This setting provides a natural
split between (i) an offline (or preprocessing) phase, where the program is partially
analyzed and analysis summaries are created, and (ii) an online (or query) phase,
where analysis queries arrive on demand and the summaries are used to speed up
answering queries.\r\nIn this work, we consider on-demand IFDS analyses where
the queries concern program locations of the same procedure (aka same-context
queries). We exploit the fact that flow graphs of programs have low treewidth
to develop faster algorithms that are space and time optimal for many common data-flow
analyses, in both the preprocessing and the query phase. We also use treewidth
to develop query solutions that are embarrassingly parallelizable, i.e. the total
work for answering each query is split to a number of threads such that each thread
performs only a constant amount of work. Finally, we implement a static analyzer
based on our algorithms, and perform a series of on-demand analysis experiments
on standard benchmarks. Our experimental results show a drastic speed-up of the
queries after only a lightweight preprocessing phase, which significantly outperforms
existing techniques."
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
citation:
ama: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. Optimal and perfectly
parallel algorithms for on-demand data-flow analysis. In: European Symposium
on Programming. Vol 12075. Springer Nature; 2020:112-140. doi:10.1007/978-3-030-44914-8_5'
apa: 'Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., & Pavlogiannis, A.
(2020). Optimal and perfectly parallel algorithms for on-demand data-flow analysis.
In European Symposium on Programming (Vol. 12075, pp. 112–140). Dublin,
Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-44914-8_5'
chicago: Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen,
and Andreas Pavlogiannis. “Optimal and Perfectly Parallel Algorithms for On-Demand
Data-Flow Analysis.” In European Symposium on Programming, 12075:112–40.
Springer Nature, 2020. https://doi.org/10.1007/978-3-030-44914-8_5.
ieee: K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and A. Pavlogiannis, “Optimal
and perfectly parallel algorithms for on-demand data-flow analysis,” in European
Symposium on Programming, Dublin, Ireland, 2020, vol. 12075, pp. 112–140.
ista: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. 2020. Optimal
and perfectly parallel algorithms for on-demand data-flow analysis. European Symposium
on Programming. ESOP: Programming Languages and Systems, LNCS, vol. 12075, 112–140.'
mla: Chatterjee, Krishnendu, et al. “Optimal and Perfectly Parallel Algorithms for
On-Demand Data-Flow Analysis.” European Symposium on Programming, vol.
12075, Springer Nature, 2020, pp. 112–40, doi:10.1007/978-3-030-44914-8_5.
short: K. Chatterjee, A.K. Goharshady, R. Ibsen-Jensen, A. Pavlogiannis, in:, European
Symposium on Programming, Springer Nature, 2020, pp. 112–140.
conference:
end_date: 2020-04-30
location: Dublin, Ireland
name: 'ESOP: Programming Languages and Systems'
start_date: 2020-04-25
date_created: 2020-05-10T22:00:50Z
date_published: 2020-04-18T00:00:00Z
date_updated: 2024-03-28T23:30:34Z
day: '18'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-44914-8_5
external_id:
isi:
- '000681656800005'
file:
- access_level: open_access
checksum: 8618b80f4cf7b39a60e61a6445ad9807
content_type: application/pdf
creator: dernst
date_created: 2020-05-26T13:34:48Z
date_updated: 2020-07-14T12:48:03Z
file_id: '7895'
file_name: 2020_LNCS_Chatterjee.pdf
file_size: 651250
relation: main_file
file_date_updated: 2020-07-14T12:48:03Z
has_accepted_license: '1'
intvolume: ' 12075'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 112-140
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
Contracts
- _id: 267066CE-B435-11E9-9278-68D0E5697425
name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies
publication: European Symposium on Programming
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030449131'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Optimal and perfectly parallel algorithms for on-demand data-flow analysis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12075
year: '2020'
...
---
_id: '8728'
abstract:
- lang: eng
text: Discrete-time Markov Chains (MCs) and Markov Decision Processes (MDPs) are
two standard formalisms in system analysis. Their main associated quantitative
objectives are hitting probabilities, discounted sum, and mean payoff. Although
there are many techniques for computing these objectives in general MCs/MDPs,
they have not been thoroughly studied in terms of parameterized algorithms, particularly
when treewidth is used as the parameter. This is in sharp contrast to qualitative
objectives for MCs, MDPs and graph games, for which treewidth-based algorithms
yield significant complexity improvements. In this work, we show that treewidth
can also be used to obtain faster algorithms for the quantitative problems. For
an MC with n states and m transitions, we show that each of the classical quantitative
objectives can be computed in O((n+m)⋅t2) time, given a tree decomposition
of the MC with width t. Our results also imply a bound of O(κ⋅(n+m)⋅t2) for
each objective on MDPs, where κ is the number of strategy-iteration refinements
required for the given input and objective. Finally, we make an experimental evaluation
of our new algorithms on low-treewidth MCs and MDPs obtained from the DaCapo benchmark
suite. Our experiments show that on low-treewidth MCs and MDPs, our algorithms
outperform existing well-established methods by one or more orders of magnitude.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Ali
full_name: Asadi, Ali
last_name: Asadi
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Kiarash
full_name: Mohammadi, Kiarash
last_name: Mohammadi
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
citation:
ama: 'Asadi A, Chatterjee K, Goharshady AK, Mohammadi K, Pavlogiannis A. Faster
algorithms for quantitative analysis of MCs and MDPs with small treewidth. In:
Automated Technology for Verification and Analysis. Vol 12302. Springer
Nature; 2020:253-270. doi:10.1007/978-3-030-59152-6_14'
apa: 'Asadi, A., Chatterjee, K., Goharshady, A. K., Mohammadi, K., & Pavlogiannis,
A. (2020). Faster algorithms for quantitative analysis of MCs and MDPs with small
treewidth. In Automated Technology for Verification and Analysis (Vol.
12302, pp. 253–270). Hanoi, Vietnam: Springer Nature. https://doi.org/10.1007/978-3-030-59152-6_14'
chicago: Asadi, Ali, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Kiarash Mohammadi,
and Andreas Pavlogiannis. “Faster Algorithms for Quantitative Analysis of MCs
and MDPs with Small Treewidth.” In Automated Technology for Verification and
Analysis, 12302:253–70. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-59152-6_14.
ieee: A. Asadi, K. Chatterjee, A. K. Goharshady, K. Mohammadi, and A. Pavlogiannis,
“Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth,”
in Automated Technology for Verification and Analysis, Hanoi, Vietnam,
2020, vol. 12302, pp. 253–270.
ista: 'Asadi A, Chatterjee K, Goharshady AK, Mohammadi K, Pavlogiannis A. 2020.
Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth.
Automated Technology for Verification and Analysis. ATVA: Automated Technology
for Verification and Analysis, LNCS, vol. 12302, 253–270.'
mla: Asadi, Ali, et al. “Faster Algorithms for Quantitative Analysis of MCs and
MDPs with Small Treewidth.” Automated Technology for Verification and Analysis,
vol. 12302, Springer Nature, 2020, pp. 253–70, doi:10.1007/978-3-030-59152-6_14.
short: A. Asadi, K. Chatterjee, A.K. Goharshady, K. Mohammadi, A. Pavlogiannis,
in:, Automated Technology for Verification and Analysis, Springer Nature, 2020,
pp. 253–270.
conference:
end_date: 2020-10-23
location: Hanoi, Vietnam
name: 'ATVA: Automated Technology for Verification and Analysis'
start_date: 2020-10-19
date_created: 2020-11-06T07:30:05Z
date_published: 2020-10-12T00:00:00Z
date_updated: 2024-03-28T23:30:34Z
day: '12'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-59152-6_14
external_id:
isi:
- '000723555700014'
file:
- access_level: open_access
checksum: ae83f27e5b189d5abc2e7514f1b7e1b5
content_type: application/pdf
creator: dernst
date_created: 2020-11-06T07:41:03Z
date_updated: 2020-11-06T07:41:03Z
file_id: '8729'
file_name: 2020_LNCS_ATVA_Asadi_accepted.pdf
file_size: 726648
relation: main_file
success: 1
file_date_updated: 2020-11-06T07:41:03Z
has_accepted_license: '1'
intvolume: ' 12302'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 253-270
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 267066CE-B435-11E9-9278-68D0E5697425
name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies
publication: Automated Technology for Verification and Analysis
publication_identifier:
eisbn:
- '9783030591526'
eissn:
- 1611-3349
isbn:
- '9783030591519'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 12302
year: '2020'
...
---
_id: '8089'
abstract:
- lang: eng
text: "We consider the classical problem of invariant generation for programs with
polynomial assignments and focus on synthesizing invariants that are a conjunction
of strict polynomial inequalities. We present a sound and semi-complete method
based on positivstellensaetze, i.e. theorems in semi-algebraic geometry that characterize
positive polynomials over a semi-algebraic set.\r\n\r\nOn the theoretical side,
the worst-case complexity of our approach is subexponential, whereas the worst-case
complexity of the previous complete method (Kapur, ACA 2004) is doubly-exponential.
Even when restricted to linear invariants, the best previous complexity for complete
invariant generation is exponential (Colon et al, CAV 2003). On the practical
side, we reduce the invariant generation problem to quadratic programming (QCLP),
which is a classical optimization problem with many industrial solvers. We demonstrate
the applicability of our approach by providing experimental results on several
academic benchmarks. To the best of our knowledge, the only previous invariant
generation method that provides completeness guarantees for invariants consisting
of polynomial inequalities is (Kapur, ACA 2004), which relies on quantifier elimination
and cannot even handle toy programs such as our running example."
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Hongfei
full_name: Fu, Hongfei
id: 3AAD03D6-F248-11E8-B48F-1D18A9856A87
last_name: Fu
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Ehsan Kafshdar
full_name: Goharshady, Ehsan Kafshdar
last_name: Goharshady
citation:
ama: 'Chatterjee K, Fu H, Goharshady AK, Goharshady EK. Polynomial invariant generation
for non-deterministic recursive programs. In: Proceedings of the 41st ACM SIGPLAN
Conference on Programming Language Design and Implementation. Association
for Computing Machinery; 2020:672-687. doi:10.1145/3385412.3385969'
apa: 'Chatterjee, K., Fu, H., Goharshady, A. K., & Goharshady, E. K. (2020).
Polynomial invariant generation for non-deterministic recursive programs. In Proceedings
of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
(pp. 672–687). London, United Kingdom: Association for Computing Machinery. https://doi.org/10.1145/3385412.3385969'
chicago: Chatterjee, Krishnendu, Hongfei Fu, Amir Kafshdar Goharshady, and Ehsan
Kafshdar Goharshady. “Polynomial Invariant Generation for Non-Deterministic Recursive
Programs.” In Proceedings of the 41st ACM SIGPLAN Conference on Programming
Language Design and Implementation, 672–87. Association for Computing Machinery,
2020. https://doi.org/10.1145/3385412.3385969.
ieee: K. Chatterjee, H. Fu, A. K. Goharshady, and E. K. Goharshady, “Polynomial
invariant generation for non-deterministic recursive programs,” in Proceedings
of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation,
London, United Kingdom, 2020, pp. 672–687.
ista: 'Chatterjee K, Fu H, Goharshady AK, Goharshady EK. 2020. Polynomial invariant
generation for non-deterministic recursive programs. Proceedings of the 41st ACM
SIGPLAN Conference on Programming Language Design and Implementation. PLDI: Programming
Language Design and Implementation, 672–687.'
mla: Chatterjee, Krishnendu, et al. “Polynomial Invariant Generation for Non-Deterministic
Recursive Programs.” Proceedings of the 41st ACM SIGPLAN Conference on Programming
Language Design and Implementation, Association for Computing Machinery, 2020,
pp. 672–87, doi:10.1145/3385412.3385969.
short: K. Chatterjee, H. Fu, A.K. Goharshady, E.K. Goharshady, in:, Proceedings
of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation,
Association for Computing Machinery, 2020, pp. 672–687.
conference:
end_date: 2020-06-20
location: London, United Kingdom
name: 'PLDI: Programming Language Design and Implementation'
start_date: 2020-06-15
date_created: 2020-07-05T22:00:45Z
date_published: 2020-06-11T00:00:00Z
date_updated: 2024-03-28T23:30:34Z
day: '11'
department:
- _id: KrCh
doi: 10.1145/3385412.3385969
external_id:
arxiv:
- '1902.04373'
isi:
- '000614622300045'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1902.04373
month: '06'
oa: 1
oa_version: Preprint
page: 672-687
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language
Design and Implementation
publication_identifier:
isbn:
- '9781450376136'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Polynomial invariant generation for non-deterministic recursive programs
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '6918'
abstract:
- lang: eng
text: "We consider the classic problem of Network Reliability. A network is given
together with a source vertex, one or more target vertices, and probabilities
assigned to each of the edges. Each edge of the network is operable with its associated
probability and the problem is to determine the probability of having at least
one source-to-target path that is entirely composed of operable edges. This problem
is known to be NP-hard.\r\n\r\nWe provide a novel scalable algorithm to solve
the Network Reliability problem when the treewidth of the underlying network is
small. We also show our algorithm’s applicability for real-world transit networks
that have small treewidth, including the metro networks of major cities, such
as London and Tokyo. Our algorithm leverages tree decompositions to shrink the
original graph into much smaller graphs, for which reliability can be efficiently
and exactly computed using a brute force method. To the best of our knowledge,
this is the first exact algorithm for Network Reliability that can scale to handle
real-world instances of the problem."
acknowledgement: We are grateful to the anonymous reviewers for their comments, which
significantly improved the present work. The research was partially supported by
the EPSRC Early Career Fellowship EP/R023379/1, grant no. SC7-1718-01 of the London
Mathematical Society, an IBM PhD Fellowship, and a DOC Fellowship of the Austrian
Academy of Sciences (ÖAW).
article_number: '106665'
article_processing_charge: No
article_type: original
author:
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Fatemeh
full_name: Mohammadi, Fatemeh
last_name: Mohammadi
citation:
ama: Goharshady AK, Mohammadi F. An efficient algorithm for computing network reliability
in small treewidth. Reliability Engineering and System Safety. 2020;193.
doi:10.1016/j.ress.2019.106665
apa: Goharshady, A. K., & Mohammadi, F. (2020). An efficient algorithm for computing
network reliability in small treewidth. Reliability Engineering and System
Safety. Elsevier. https://doi.org/10.1016/j.ress.2019.106665
chicago: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm
for Computing Network Reliability in Small Treewidth.” Reliability Engineering
and System Safety. Elsevier, 2020. https://doi.org/10.1016/j.ress.2019.106665.
ieee: A. K. Goharshady and F. Mohammadi, “An efficient algorithm for computing network
reliability in small treewidth,” Reliability Engineering and System Safety,
vol. 193. Elsevier, 2020.
ista: Goharshady AK, Mohammadi F. 2020. An efficient algorithm for computing network
reliability in small treewidth. Reliability Engineering and System Safety. 193,
106665.
mla: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm for
Computing Network Reliability in Small Treewidth.” Reliability Engineering
and System Safety, vol. 193, 106665, Elsevier, 2020, doi:10.1016/j.ress.2019.106665.
short: A.K. Goharshady, F. Mohammadi, Reliability Engineering and System Safety
193 (2020).
date_created: 2019-09-29T22:00:44Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2024-03-28T23:30:34Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ress.2019.106665
external_id:
arxiv:
- '1712.09692'
isi:
- '000501641400050'
intvolume: ' 193'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1712.09692
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
Contracts
publication: Reliability Engineering and System Safety
publication_identifier:
issn:
- '09518320'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: An efficient algorithm for computing network reliability in small treewidth
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 193
year: '2020'
...
---
_id: '6887'
abstract:
- lang: eng
text: 'The fundamental model-checking problem, given as input a model and a specification,
asks for the algorithmic verification of whether the model satisfies the specification.
Two classical models for reactive systems are graphs and Markov decision processes
(MDPs). A basic specification formalism in the verification of reactive systems
is the strong fairness (aka Streett) objective, where given different types of
requests and corresponding grants, the requirement is that for each type, if the
request event happens infinitely often, then the corresponding grant event must
also happen infinitely often. All omega-regular objectives can be expressed as
Streett objectives and hence they are canonical in verification. Consider graphs/MDPs
with n vertices, m edges, and a Streett objectives with k pairs, and let b denote
the size of the description of the Streett objective for the sets of requests
and grants. The current best-known algorithm for the problem requires time O(min(n^2,
m sqrt{m log n}) + b log n). In this work we present randomized near-linear time
algorithms, with expected running time O~(m + b), where the O~ notation hides
poly-log factors. Our randomized algorithms are near-linear in the size of the
input, and hence optimal up to poly-log factors. '
alternative_title:
- LIPIcs
article_number: '7'
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Wolfgang
full_name: Dvorák, Wolfgang
last_name: Dvorák
- first_name: Monika H
full_name: Henzinger, Monika H
id: 540c9bbd-f2de-11ec-812d-d04a5be85630
last_name: Henzinger
orcid: 0000-0002-5008-6530
- first_name: Alexander
full_name: Svozil, Alexander
last_name: Svozil
citation:
ama: 'Chatterjee K, Dvorák W, Henzinger MH, Svozil A. Near-linear time algorithms
for Streett objectives in graphs and MDPs. In: Leibniz International Proceedings
in Informatics. Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2019. doi:10.4230/LIPICS.CONCUR.2019.7'
apa: 'Chatterjee, K., Dvorák, W., Henzinger, M. H., & Svozil, A. (2019). Near-linear
time algorithms for Streett objectives in graphs and MDPs. In Leibniz International
Proceedings in Informatics (Vol. 140). Amsterdam, Netherlands: Schloss Dagstuhl
- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.CONCUR.2019.7'
chicago: Chatterjee, Krishnendu, Wolfgang Dvorák, Monika H Henzinger, and Alexander
Svozil. “Near-Linear Time Algorithms for Streett Objectives in Graphs and MDPs.”
In Leibniz International Proceedings in Informatics, Vol. 140. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2019. https://doi.org/10.4230/LIPICS.CONCUR.2019.7.
ieee: K. Chatterjee, W. Dvorák, M. H. Henzinger, and A. Svozil, “Near-linear time
algorithms for Streett objectives in graphs and MDPs,” in Leibniz International
Proceedings in Informatics, Amsterdam, Netherlands, 2019, vol. 140.
ista: 'Chatterjee K, Dvorák W, Henzinger MH, Svozil A. 2019. Near-linear time algorithms
for Streett objectives in graphs and MDPs. Leibniz International Proceedings in
Informatics. CONCUR: International Conference on Concurrency Theory, LIPIcs, vol.
140, 7.'
mla: Chatterjee, Krishnendu, et al. “Near-Linear Time Algorithms for Streett Objectives
in Graphs and MDPs.” Leibniz International Proceedings in Informatics,
vol. 140, 7, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.7.
short: K. Chatterjee, W. Dvorák, M.H. Henzinger, A. Svozil, in:, Leibniz International
Proceedings in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2019.
conference:
end_date: 2019-08-30
location: Amsterdam, Netherlands
name: 'CONCUR: International Conference on Concurrency Theory'
start_date: 2019-08-27
date_created: 2019-09-18T08:07:58Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2022-08-12T10:54:34Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPICS.CONCUR.2019.7
ec_funded: 1
file:
- access_level: open_access
checksum: e1f0e4061212454574f34a1368d018ec
content_type: application/pdf
creator: kschuh
date_created: 2019-10-01T08:20:30Z
date_updated: 2020-07-14T12:47:43Z
file_id: '6922'
file_name: 2019_LIPIcs_Chatterjee.pdf
file_size: 730112
relation: main_file
file_date_updated: 2020-07-14T12:47:43Z
has_accepted_license: '1'
intvolume: ' 140'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Leibniz International Proceedings in Informatics
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Near-linear time algorithms for Streett objectives in graphs and MDPs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
volume: 140
year: '2019'
...
---
_id: '6885'
abstract:
- lang: eng
text: 'A vector addition system with states (VASS) consists of a finite set of states
and counters. A configuration is a state and a value for each counter; a transition
changes the state and each counter is incremented, decremented, or left unchanged.
While qualitative properties such as state and configuration reachability have
been studied for VASS, we consider the long-run average cost of infinite computations
of VASS. The cost of a configuration is for each state, a linear combination of
the counter values. In the special case of uniform cost functions, the linear
combination is the same for all states. The (regular) long-run emptiness problem
is, given a VASS, a cost function, and a threshold value, if there is a (lasso-shaped)
computation such that the long-run average value of the cost function does not
exceed the threshold. For uniform cost functions, we show that the regular long-run
emptiness problem is (a) decidable in polynomial time for integer-valued VASS,
and (b) decidable but nonelementarily hard for natural-valued VASS (i.e., nonnegative
counters). For general cost functions, we show that the problem is (c) NP-complete
for integer-valued VASS, and (d) undecidable for natural-valued VASS. Our most
interesting result is for (c) integer-valued VASS with general cost functions,
where we establish a connection between the regular long-run emptiness problem
and quadratic Diophantine inequalities. The general (nonregular) long-run emptiness
problem is equally hard as the regular problem in all cases except (c), where
it remains open. '
alternative_title:
- LIPIcs
article_number: '27'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Jan
full_name: Otop, Jan
last_name: Otop
citation:
ama: 'Chatterjee K, Henzinger TA, Otop J. Long-run average behavior of vector addition
systems with states. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2019. doi:10.4230/LIPICS.CONCUR.2019.27'
apa: 'Chatterjee, K., Henzinger, T. A., & Otop, J. (2019). Long-run average
behavior of vector addition systems with states (Vol. 140). Presented at the CONCUR:
International Conference on Concurrency Theory, Amsterdam, Netherlands: Schloss
Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.CONCUR.2019.27'
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Long-Run Average
Behavior of Vector Addition Systems with States,” Vol. 140. Schloss Dagstuhl -
Leibniz-Zentrum für Informatik, 2019. https://doi.org/10.4230/LIPICS.CONCUR.2019.27.
ieee: 'K. Chatterjee, T. A. Henzinger, and J. Otop, “Long-run average behavior of
vector addition systems with states,” presented at the CONCUR: International Conference
on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.'
ista: 'Chatterjee K, Henzinger TA, Otop J. 2019. Long-run average behavior of vector
addition systems with states. CONCUR: International Conference on Concurrency
Theory, LIPIcs, vol. 140, 27.'
mla: Chatterjee, Krishnendu, et al. Long-Run Average Behavior of Vector Addition
Systems with States. Vol. 140, 27, Schloss Dagstuhl - Leibniz-Zentrum für
Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.27.
short: K. Chatterjee, T.A. Henzinger, J. Otop, in:, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2019.
conference:
end_date: 2019-08-30
location: Amsterdam, Netherlands
name: 'CONCUR: International Conference on Concurrency Theory'
start_date: 2019-08-27
date_created: 2019-09-18T08:06:14Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2021-01-12T08:09:27Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
- _id: KrCh
doi: 10.4230/LIPICS.CONCUR.2019.27
file:
- access_level: open_access
checksum: 4985e26e1572d1575d64d38acabd71d6
content_type: application/pdf
creator: kschuh
date_created: 2019-09-27T12:09:35Z
date_updated: 2020-07-14T12:47:43Z
file_id: '6914'
file_name: 2019_LIPIcs_Chatterjee.pdf
file_size: 538120
relation: main_file
file_date_updated: 2020-07-14T12:47:43Z
has_accepted_license: '1'
intvolume: ' 140'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Rigorous Systems Engineering
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: 1
status: public
title: Long-run average behavior of vector addition systems with states
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 140
year: '2019'
...
---
_id: '6889'
abstract:
- lang: eng
text: 'We study Markov decision processes and turn-based stochastic games with parity
conditions. There are three qualitative winning criteria, namely, sure winning,
which requires all paths to satisfy the condition, almost-sure winning, which
requires the condition to be satisfied with probability 1, and limit-sure winning,
which requires the condition to be satisfied with probability arbitrarily close
to 1. We study the combination of two of these criteria for parity conditions,
e.g., there are two parity conditions one of which must be won surely, and the
other almost-surely. The problem has been studied recently by Berthon et al. for
MDPs with combination of sure and almost-sure winning, under infinite-memory strategies,
and the problem has been established to be in NP cap co-NP. Even in MDPs there
is a difference between finite-memory and infinite-memory strategies. Our main
results for combination of sure and almost-sure winning are as follows: (a) we
show that for MDPs with finite-memory strategies the problem is in NP cap co-NP;
(b) we show that for turn-based stochastic games the problem is co-NP-complete,
both for finite-memory and infinite-memory strategies; and (c) we present algorithmic
results for the finite-memory case, both for MDPs and turn-based stochastic games,
by reduction to non-stochastic parity games. In addition we show that all the
above complexity results also carry over to combination of sure and limit-sure
winning, and results for all other combinations can be derived from existing results
in the literature. Thus we present a complete picture for the study of combinations
of two qualitative winning criteria for parity conditions in MDPs and turn-based
stochastic games. '
alternative_title:
- LIPIcs
article_number: '6'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Nir
full_name: Piterman, Nir
last_name: Piterman
citation:
ama: 'Chatterjee K, Piterman N. Combinations of Qualitative Winning for Stochastic
Parity Games. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2019. doi:10.4230/LIPICS.CONCUR.2019.6'
apa: 'Chatterjee, K., & Piterman, N. (2019). Combinations of Qualitative Winning
for Stochastic Parity Games (Vol. 140). Presented at the CONCUR: International
Conference on Concurrency Theory, Amsterdam, Netherlands: Schloss Dagstuhl - Leibniz-Zentrum
für Informatik. https://doi.org/10.4230/LIPICS.CONCUR.2019.6'
chicago: Chatterjee, Krishnendu, and Nir Piterman. “Combinations of Qualitative
Winning for Stochastic Parity Games,” Vol. 140. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2019. https://doi.org/10.4230/LIPICS.CONCUR.2019.6.
ieee: 'K. Chatterjee and N. Piterman, “Combinations of Qualitative Winning for Stochastic
Parity Games,” presented at the CONCUR: International Conference on Concurrency
Theory, Amsterdam, Netherlands, 2019, vol. 140.'
ista: 'Chatterjee K, Piterman N. 2019. Combinations of Qualitative Winning for Stochastic
Parity Games. CONCUR: International Conference on Concurrency Theory, LIPIcs,
vol. 140, 6.'
mla: Chatterjee, Krishnendu, and Nir Piterman. Combinations of Qualitative Winning
for Stochastic Parity Games. Vol. 140, 6, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.6.
short: K. Chatterjee, N. Piterman, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2019.
conference:
end_date: 2019-08-30
location: Amsterdam, Netherlands
name: 'CONCUR: International Conference on Concurrency Theory'
start_date: 2019-08-27
date_created: 2019-09-18T08:11:43Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2021-01-12T08:09:28Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPICS.CONCUR.2019.6
file:
- access_level: open_access
checksum: 7b2ecfd4d9d02360308c0ca986fc10a7
content_type: application/pdf
creator: kschuh
date_created: 2019-10-01T08:49:45Z
date_updated: 2020-07-14T12:47:43Z
file_id: '6923'
file_name: 2019_LIPIcs_Chatterjee.pdf
file_size: 509163
relation: main_file
file_date_updated: 2020-07-14T12:47:43Z
has_accepted_license: '1'
intvolume: ' 140'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: 1
status: public
title: Combinations of Qualitative Winning for Stochastic Parity Games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 140
year: '2019'
...
---
_id: '6884'
abstract:
- lang: eng
text: 'In two-player games on graphs, the players move a token through a graph to
produce a finite or infinite path, which determines the qualitative winner or
quantitative payoff of the game. We study bidding games in which the players bid
for the right to move the token. Several bidding rules were studied previously.
In Richman bidding, in each round, the players simultaneously submit bids, and
the higher bidder moves the token and pays the other player. Poorman bidding is
similar except that the winner of the bidding pays the "bank" rather than the
other player. Taxman bidding spans the spectrum between Richman and poorman bidding.
They are parameterized by a constant tau in [0,1]: portion tau of the winning
bid is paid to the other player, and portion 1-tau to the bank. While finite-duration
(reachability) taxman games have been studied before, we present, for the first
time, results on infinite-duration taxman games. It was previously shown that
both Richman and poorman infinite-duration games with qualitative objectives reduce
to reachability games, and we show a similar result here. Our most interesting
results concern quantitative taxman games, namely mean-payoff games, where poorman
and Richman bidding differ significantly. A central quantity in these games is
the ratio between the two players'' initial budgets. While in poorman mean-payoff
games, the optimal payoff of a player depends on the initial ratio, in Richman
bidding, the payoff depends only on the structure of the game. In both games the
optimal payoffs can be found using (different) probabilistic connections with
random-turn games in which in each turn, instead of bidding, a coin is tossed
to determine which player moves. While the value with Richman bidding equals the
value of a random-turn game with an un-biased coin, with poorman bidding, the
bias in the coin is the initial ratio of the budgets. We give a complete classification
of mean-payoff taxman games that is based on a probabilistic connection: the value
of a taxman bidding game with parameter tau and initial ratio r, equals the value
of a random-turn game that uses a coin with bias F(tau, r) = (r+tau * (1-r))/(1+tau).
Thus, we show that Richman bidding is the exception; namely, for every tau <1,
the value of the game depends on the initial ratio. Our proof technique simplifies
and unifies the previous proof techniques for both Richman and poorman bidding. '
alternative_title:
- LIPIcs
article_number: '11'
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
citation:
ama: 'Avni G, Henzinger TA, Zikelic D. Bidding mechanisms in graph games. In: Vol
138. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.MFCS.2019.11'
apa: 'Avni, G., Henzinger, T. A., & Zikelic, D. (2019). Bidding mechanisms in
graph games (Vol. 138). Presented at the MFCS: nternational Symposium on Mathematical
Foundations of Computer Science, Aachen, Germany: Schloss Dagstuhl - Leibniz-Zentrum
für Informatik. https://doi.org/10.4230/LIPICS.MFCS.2019.11'
chicago: Avni, Guy, Thomas A Henzinger, and Dorde Zikelic. “Bidding Mechanisms in
Graph Games,” Vol. 138. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019.
https://doi.org/10.4230/LIPICS.MFCS.2019.11.
ieee: 'G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,”
presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer
Science, Aachen, Germany, 2019, vol. 138.'
ista: 'Avni G, Henzinger TA, Zikelic D. 2019. Bidding mechanisms in graph games.
MFCS: nternational Symposium on Mathematical Foundations of Computer Science,
LIPIcs, vol. 138, 11.'
mla: Avni, Guy, et al. Bidding Mechanisms in Graph Games. Vol. 138, 11, Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.MFCS.2019.11.
short: G. Avni, T.A. Henzinger, D. Zikelic, in:, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2019.
conference:
end_date: 2019-08-30
location: Aachen, Germany
name: 'MFCS: nternational Symposium on Mathematical Foundations of Computer Science'
start_date: 2019-08-26
date_created: 2019-09-18T08:04:26Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-08-07T14:08:34Z
day: '01'
ddc:
- '004'
department:
- _id: ToHe
- _id: KrCh
doi: 10.4230/LIPICS.MFCS.2019.11
ec_funded: 1
external_id:
arxiv:
- '1905.03835'
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month: '08'
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oa_version: Published Version
project:
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call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
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name: The Wittgenstein Prize
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publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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related_material:
record:
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relation: later_version
status: public
scopus_import: 1
status: public
title: Bidding mechanisms in graph games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 138
year: '2019'
...
---
_id: '5948'
abstract:
- lang: eng
text: We study the termination problem for nondeterministic probabilistic programs.
We consider the bounded termination problem that asks whether the supremum of
the expected termination time over all schedulers is bounded. First, we show that
ranking supermartingales (RSMs) are both sound and complete for proving bounded
termination over nondeterministic probabilistic programs. For nondeterministic
probabilistic programs a previous result claimed that RSMs are not complete for
bounded termination, whereas our result corrects the previous flaw and establishes
completeness with a rigorous proof. Second, we present the first sound approach
to establish lower bounds on expected termination time through RSMs.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: 'Fu H, Chatterjee K. Termination of nondeterministic probabilistic programs.
In: International Conference on Verification, Model Checking, and Abstract
Interpretation. Vol 11388. Springer Nature; 2019:468-490. doi:10.1007/978-3-030-11245-5_22'
apa: 'Fu, H., & Chatterjee, K. (2019). Termination of nondeterministic probabilistic
programs. In International Conference on Verification, Model Checking, and
Abstract Interpretation (Vol. 11388, pp. 468–490). Cascais, Portugal: Springer
Nature. https://doi.org/10.1007/978-3-030-11245-5_22'
chicago: Fu, Hongfei, and Krishnendu Chatterjee. “Termination of Nondeterministic
Probabilistic Programs.” In International Conference on Verification, Model
Checking, and Abstract Interpretation, 11388:468–90. Springer Nature, 2019.
https://doi.org/10.1007/978-3-030-11245-5_22.
ieee: H. Fu and K. Chatterjee, “Termination of nondeterministic probabilistic programs,”
in International Conference on Verification, Model Checking, and Abstract Interpretation,
Cascais, Portugal, 2019, vol. 11388, pp. 468–490.
ista: 'Fu H, Chatterjee K. 2019. Termination of nondeterministic probabilistic programs.
International Conference on Verification, Model Checking, and Abstract Interpretation.
VMCAI: Verification, Model Checking, and Abstract Interpretation, LNCS, vol. 11388,
468–490.'
mla: Fu, Hongfei, and Krishnendu Chatterjee. “Termination of Nondeterministic Probabilistic
Programs.” International Conference on Verification, Model Checking, and Abstract
Interpretation, vol. 11388, Springer Nature, 2019, pp. 468–90, doi:10.1007/978-3-030-11245-5_22.
short: H. Fu, K. Chatterjee, in:, International Conference on Verification, Model
Checking, and Abstract Interpretation, Springer Nature, 2019, pp. 468–490.
conference:
end_date: 2019-01-15
location: Cascais, Portugal
name: 'VMCAI: Verification, Model Checking, and Abstract Interpretation'
start_date: 2019-01-13
date_created: 2019-02-10T22:59:17Z
date_published: 2019-01-11T00:00:00Z
date_updated: 2023-08-24T14:42:22Z
day: '11'
department:
- _id: KrCh
doi: 10.1007/978-3-030-11245-5_22
external_id:
arxiv:
- '1701.02944'
isi:
- '000931943000022'
intvolume: ' 11388'
isi: 1
language:
- iso: eng
main_file_link:
- url: https://arxiv.org/abs/1701.02944
month: '01'
oa_version: Preprint
page: 468-490
project:
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
publication: International Conference on Verification, Model Checking, and Abstract
Interpretation
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Termination of nondeterministic probabilistic programs
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11388
year: '2019'
...