---
_id: '1681'
abstract:
- lang: eng
text: In many social situations, individuals endeavor to find the single best possible
partner, but are constrained to evaluate the candidates in sequence. Examples
include the search for mates, economic partnerships, or any other long-term ties
where the choice to interact involves two parties. Surprisingly, however, previous
theoretical work on mutual choice problems focuses on finding equilibrium solutions,
while ignoring the evolutionary dynamics of decisions. Empirically, this may be
of high importance, as some equilibrium solutions can never be reached unless
the population undergoes radical changes and a sufficient number of individuals
change their decisions simultaneously. To address this question, we apply a mutual
choice sequential search problem in an evolutionary game-theoretical model that
allows one to find solutions that are favored by evolution. As an example, we
study the influence of sequential search on the evolutionary dynamics of cooperation.
For this, we focus on the classic snowdrift game and the prisoner’s dilemma game.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: Priklopil T, Chatterjee K. Evolution of decisions in population games with
sequentially searching individuals. Games. 2015;6(4):413-437. doi:10.3390/g6040413
apa: Priklopil, T., & Chatterjee, K. (2015). Evolution of decisions in population
games with sequentially searching individuals. Games. MDPI. https://doi.org/10.3390/g6040413
chicago: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in
Population Games with Sequentially Searching Individuals.” Games. MDPI,
2015. https://doi.org/10.3390/g6040413.
ieee: T. Priklopil and K. Chatterjee, “Evolution of decisions in population games
with sequentially searching individuals,” Games, vol. 6, no. 4. MDPI, pp.
413–437, 2015.
ista: Priklopil T, Chatterjee K. 2015. Evolution of decisions in population games
with sequentially searching individuals. Games. 6(4), 413–437.
mla: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population
Games with Sequentially Searching Individuals.” Games, vol. 6, no. 4, MDPI,
2015, pp. 413–37, doi:10.3390/g6040413.
short: T. Priklopil, K. Chatterjee, Games 6 (2015) 413–437.
date_created: 2018-12-11T11:53:26Z
date_published: 2015-09-29T00:00:00Z
date_updated: 2023-10-17T11:42:52Z
day: '29'
ddc:
- '000'
department:
- _id: NiBa
- _id: KrCh
doi: 10.3390/g6040413
ec_funded: 1
file:
- access_level: open_access
checksum: 912e1acbaf201100f447a43e4d5958bd
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:41Z
date_updated: 2020-07-14T12:45:12Z
file_id: '4959'
file_name: IST-2016-448-v1+1_games-06-00413.pdf
file_size: 518832
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '4'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 413 - 437
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Games
publication_identifier:
eissn:
- 2073-4336
publication_status: published
publisher: MDPI
publist_id: '5467'
pubrep_id: '448'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolution of decisions in population games with sequentially searching individuals
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: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2015'
...
---
_id: '1655'
abstract:
- lang: eng
text: Quantifying behaviors of robots which were generated autonomously from task-independent
objective functions is an important prerequisite for objective comparisons of
algorithms and movements of animals. The temporal sequence of such a behavior
can be considered as a time series and hence complexity measures developed for
time series are natural candidates for its quantification. The predictive information
and the excess entropy are such complexity measures. They measure the amount of
information the past contains about the future and thus quantify the nonrandom
structure in the temporal sequence. However, when using these measures for systems
with continuous states one has to deal with the fact that their values will depend
on the resolution with which the systems states are observed. For deterministic
systems both measures will diverge with increasing resolution. We therefore propose
a new decomposition of the excess entropy in resolution dependent and resolution
independent parts and discuss how they depend on the dimensionality of the dynamics,
correlations and the noise level. For the practical estimation we propose to use
estimates based on the correlation integral instead of the direct estimation of
the mutual information based on next neighbor statistics because the latter allows
less control of the scale dependencies. Using our algorithm we are able to show
how autonomous learning generates behavior of increasing complexity with increasing
learning duration.
acknowledgement: This work was supported by the DFG priority program 1527 (Autonomous
Learning) and by the European Community’s Seventh Framework Programme (FP7/2007-2013)
under grant agreement no. 318723 (MatheMACS) and from the People Programme (Marie
Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013)
under REA grant agreement no. 291734.
article_processing_charge: No
author:
- first_name: Georg S
full_name: Martius, Georg S
id: 3A276B68-F248-11E8-B48F-1D18A9856A87
last_name: Martius
- first_name: Eckehard
full_name: Olbrich, Eckehard
last_name: Olbrich
citation:
ama: Martius GS, Olbrich E. Quantifying emergent behavior of autonomous robots.
Entropy. 2015;17(10):7266-7297. doi:10.3390/e17107266
apa: Martius, G. S., & Olbrich, E. (2015). Quantifying emergent behavior of
autonomous robots. Entropy. MDPI. https://doi.org/10.3390/e17107266
chicago: Martius, Georg S, and Eckehard Olbrich. “Quantifying Emergent Behavior
of Autonomous Robots.” Entropy. MDPI, 2015. https://doi.org/10.3390/e17107266.
ieee: G. S. Martius and E. Olbrich, “Quantifying emergent behavior of autonomous
robots,” Entropy, vol. 17, no. 10. MDPI, pp. 7266–7297, 2015.
ista: Martius GS, Olbrich E. 2015. Quantifying emergent behavior of autonomous robots.
Entropy. 17(10), 7266–7297.
mla: Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of
Autonomous Robots.” Entropy, vol. 17, no. 10, MDPI, 2015, pp. 7266–97,
doi:10.3390/e17107266.
short: G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297.
date_created: 2018-12-11T11:53:17Z
date_published: 2015-10-23T00:00:00Z
date_updated: 2023-10-17T11:42:00Z
day: '23'
ddc:
- '000'
department:
- _id: ChLa
- _id: GaTk
doi: 10.3390/e17107266
ec_funded: 1
file:
- access_level: open_access
checksum: 945d99631a96e0315acb26dc8541dcf9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:25Z
date_updated: 2020-07-14T12:45:08Z
file_id: '4943'
file_name: IST-2016-464-v1+1_entropy-17-07266.pdf
file_size: 6455007
relation: main_file
file_date_updated: 2020-07-14T12:45:08Z
has_accepted_license: '1'
intvolume: ' 17'
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 7266 - 7297
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Entropy
publication_status: published
publisher: MDPI
publist_id: '5495'
pubrep_id: '464'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantifying emergent behavior of autonomous robots
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: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2015'
...
---
_id: '1834'
abstract:
- lang: eng
text: Huge body of evidences demonstrated that volatile anesthetics affect the hippocampal
neurogenesis and neurocognitive functions, and most of them showed impairment
at anesthetic dose. Here, we investigated the effect of low dose (1.8%) sevoflurane
on hippocampal neurogenesis and dentate gyrus-dependent learning. Neonatal rats
at postnatal day 4 to 6 (P4-6) were treated with 1.8% sevoflurane for 6 hours.
Neurogenesis was quantified by bromodeoxyuridine labeling and electrophysiology
recording. Four and seven weeks after treatment, the Morris water maze and contextual-fear
discrimination learning tests were performed to determine the influence on spatial
learning and pattern separation. A 6-hour treatment with 1.8% sevoflurane promoted
hippocampal neurogenesis and increased the survival of newborn cells and the proportion
of immature granular cells in the dentate gyrus of neonatal rats. Sevoflurane-treated
rats performed better during the training days of the Morris water maze test and
in contextual-fear discrimination learning test. These results suggest that a
subanesthetic dose of sevoflurane promotes hippocampal neurogenesis in neonatal
rats and facilitates their performance in dentate gyrus-dependent learning tasks.
article_processing_charge: No
article_type: original
author:
- first_name: Chong
full_name: Chen, Chong
id: 3DFD581A-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Chao
full_name: Wang, Chao
last_name: Wang
- first_name: Xuan
full_name: Zhao, Xuan
last_name: Zhao
- first_name: Tao
full_name: Zhou, Tao
last_name: Zhou
- first_name: Dao
full_name: Xu, Dao
last_name: Xu
- first_name: Zhi
full_name: Wang, Zhi
last_name: Wang
- first_name: Ying
full_name: Wang, Ying
last_name: Wang
citation:
ama: Chen C, Wang C, Zhao X, et al. Low-dose sevoflurane promoteshippocampal neurogenesis
and facilitates the development of dentate gyrus-dependent learning in neonatal
rats. ASN Neuro. 2015;7(2). doi:10.1177/1759091415575845
apa: Chen, C., Wang, C., Zhao, X., Zhou, T., Xu, D., Wang, Z., & Wang, Y. (2015).
Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development
of dentate gyrus-dependent learning in neonatal rats. ASN Neuro. SAGE Publications.
https://doi.org/10.1177/1759091415575845
chicago: Chen, Chong, Chao Wang, Xuan Zhao, Tao Zhou, Dao Xu, Zhi Wang, and Ying
Wang. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the
Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.” ASN Neuro.
SAGE Publications, 2015. https://doi.org/10.1177/1759091415575845.
ieee: C. Chen et al., “Low-dose sevoflurane promoteshippocampal neurogenesis
and facilitates the development of dentate gyrus-dependent learning in neonatal
rats,” ASN Neuro, vol. 7, no. 2. SAGE Publications, 2015.
ista: Chen C, Wang C, Zhao X, Zhou T, Xu D, Wang Z, Wang Y. 2015. Low-dose sevoflurane
promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent
learning in neonatal rats. ASN Neuro. 7(2).
mla: Chen, Chong, et al. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis
and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal
Rats.” ASN Neuro, vol. 7, no. 2, SAGE Publications, 2015, doi:10.1177/1759091415575845.
short: C. Chen, C. Wang, X. Zhao, T. Zhou, D. Xu, Z. Wang, Y. Wang, ASN Neuro 7
(2015).
date_created: 2018-12-11T11:54:16Z
date_published: 2015-04-13T00:00:00Z
date_updated: 2023-10-18T06:47:30Z
day: '13'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1177/1759091415575845
file:
- access_level: open_access
checksum: 53e16bd3fc2ae2c0d7de9164626c37aa
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:08Z
date_updated: 2020-07-14T12:45:18Z
file_id: '5057'
file_name: IST-2016-456-v1+1_ASN_Neuro-2015-Chen-.pdf
file_size: 1146814
relation: main_file
file_date_updated: 2020-07-14T12:45:18Z
has_accepted_license: '1'
intvolume: ' 7'
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/3.0/
month: '04'
oa: 1
oa_version: Published Version
publication: ASN Neuro
publication_status: published
publisher: SAGE Publications
publist_id: '5269'
pubrep_id: '456'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development
of dentate gyrus-dependent learning in neonatal rats
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
short: CC BY (3.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2015'
...
---
_id: '1635'
abstract:
- lang: eng
text: We calculate a Ricci curvature lower bound for some classical examples of
random walks, namely, a chain on a slice of the n-dimensional discrete cube (the
so-called Bernoulli-Laplace model) and the random transposition shuffle of the
symmetric group of permutations on n letters.
article_processing_charge: No
article_type: original
author:
- first_name: Matthias
full_name: Erbar, Matthias
last_name: Erbar
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
- first_name: Prasad
full_name: Tetali, Prasad
last_name: Tetali
citation:
ama: Erbar M, Maas J, Tetali P. Discrete Ricci curvature bounds for Bernoulli-Laplace
and random transposition models. Annales de la faculté des sciences de Toulouse.
2015;24(4):781-800. doi:10.5802/afst.1464
apa: Erbar, M., Maas, J., & Tetali, P. (2015). Discrete Ricci curvature bounds
for Bernoulli-Laplace and random transposition models. Annales de La Faculté
Des Sciences de Toulouse. Faculté des sciences de Toulouse. https://doi.org/10.5802/afst.1464
chicago: Erbar, Matthias, Jan Maas, and Prasad Tetali. “Discrete Ricci Curvature
Bounds for Bernoulli-Laplace and Random Transposition Models.” Annales de La
Faculté Des Sciences de Toulouse. Faculté des sciences de Toulouse, 2015.
https://doi.org/10.5802/afst.1464.
ieee: M. Erbar, J. Maas, and P. Tetali, “Discrete Ricci curvature bounds for Bernoulli-Laplace
and random transposition models,” Annales de la faculté des sciences de Toulouse,
vol. 24, no. 4. Faculté des sciences de Toulouse, pp. 781–800, 2015.
ista: Erbar M, Maas J, Tetali P. 2015. Discrete Ricci curvature bounds for Bernoulli-Laplace
and random transposition models. Annales de la faculté des sciences de Toulouse.
24(4), 781–800.
mla: Erbar, Matthias, et al. “Discrete Ricci Curvature Bounds for Bernoulli-Laplace
and Random Transposition Models.” Annales de La Faculté Des Sciences de Toulouse,
vol. 24, no. 4, Faculté des sciences de Toulouse, 2015, pp. 781–800, doi:10.5802/afst.1464.
short: M. Erbar, J. Maas, P. Tetali, Annales de La Faculté Des Sciences de Toulouse
24 (2015) 781–800.
date_created: 2018-12-11T11:53:10Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2023-10-18T07:48:28Z
day: '01'
department:
- _id: JaMa
doi: 10.5802/afst.1464
external_id:
arxiv:
- '1409.8605'
intvolume: ' 24'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1409.8605
month: '01'
oa: 1
oa_version: Preprint
page: 781 - 800
publication: Annales de la faculté des sciences de Toulouse
publication_status: published
publisher: Faculté des sciences de Toulouse
publist_id: '5520'
quality_controlled: '1'
status: public
title: Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition
models
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2015'
...
---
_id: '14303'
abstract:
- lang: eng
text: Scaffolded DNA origami enables the fabrication of a variety of complex nanostructures
that promise utility in diverse fields of application, ranging from biosensing
over advanced therapeutics to metamaterials. The broad applicability of DNA origami
as a material beyond the level of proof-of-concept studies critically depends,
among other factors, on the availability of large amounts of pure single-stranded
scaffold DNA. Here, we present a method for the efficient production of M13 bacteriophage-derived
genomic DNA using high-cell-density fermentation of Escherichia coli in stirred-tank
bioreactors. We achieve phage titers of up to 1.6 × 1014 plaque-forming units
per mL. Downstream processing yields up to 410 mg of high-quality single-stranded
DNA per one liter reaction volume, thus upgrading DNA origami-based nanotechnology
from the milligram to the gram scale.
article_processing_charge: No
article_type: letter_note
author:
- first_name: B
full_name: Kick, B
last_name: Kick
- first_name: Florian M
full_name: Praetorius, Florian M
id: dfec9381-4341-11ee-8fd8-faa02bba7d62
last_name: Praetorius
- first_name: H
full_name: Dietz, H
last_name: Dietz
- first_name: D
full_name: Weuster-Botz, D
last_name: Weuster-Botz
citation:
ama: Kick B, Praetorius FM, Dietz H, Weuster-Botz D. Efficient production of single-stranded
phage DNA as scaffolds for DNA origami. Nano Letters. 2015;15(7):4672-4676.
doi:10.1021/acs.nanolett.5b01461
apa: Kick, B., Praetorius, F. M., Dietz, H., & Weuster-Botz, D. (2015). Efficient
production of single-stranded phage DNA as scaffolds for DNA origami. Nano
Letters. ACS Publications. https://doi.org/10.1021/acs.nanolett.5b01461
chicago: Kick, B, Florian M Praetorius, H Dietz, and D Weuster-Botz. “Efficient
Production of Single-Stranded Phage DNA as Scaffolds for DNA Origami.” Nano
Letters. ACS Publications, 2015. https://doi.org/10.1021/acs.nanolett.5b01461.
ieee: B. Kick, F. M. Praetorius, H. Dietz, and D. Weuster-Botz, “Efficient production
of single-stranded phage DNA as scaffolds for DNA origami,” Nano Letters,
vol. 15, no. 7. ACS Publications, pp. 4672–4676, 2015.
ista: Kick B, Praetorius FM, Dietz H, Weuster-Botz D. 2015. Efficient production
of single-stranded phage DNA as scaffolds for DNA origami. Nano Letters. 15(7),
4672–4676.
mla: Kick, B., et al. “Efficient Production of Single-Stranded Phage DNA as Scaffolds
for DNA Origami.” Nano Letters, vol. 15, no. 7, ACS Publications, 2015,
pp. 4672–76, doi:10.1021/acs.nanolett.5b01461.
short: B. Kick, F.M. Praetorius, H. Dietz, D. Weuster-Botz, Nano Letters 15 (2015)
4672–4676.
date_created: 2023-09-06T12:52:47Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-11-07T11:56:32Z
day: '01'
doi: 10.1021/acs.nanolett.5b01461
extern: '1'
external_id:
pmid:
- '26028443'
intvolume: ' 15'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1021/acs.nanolett.5b01461
month: '06'
oa: 1
oa_version: Published Version
page: 4672-4676
pmid: 1
publication: Nano Letters
publication_identifier:
eissn:
- 1530-6992
issn:
- 1530-6984
publication_status: published
publisher: ACS Publications
quality_controlled: '1'
status: public
title: Efficient production of single-stranded phage DNA as scaffolds for DNA origami
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2015'
...