--- _id: '14657' abstract: - lang: eng text: 'Natural selection is usually studied between mutants that differ in reproductive rate, but are subject to the same population structure. Here we explore how natural selection acts on mutants that have the same reproductive rate, but different population structures. In our framework, population structure is given by a graph that specifies where offspring can disperse. The invading mutant disperses offspring on a different graph than the resident wild-type. We find that more densely connected dispersal graphs tend to increase the invader’s fixation probability, but the exact relationship between structure and fixation probability is subtle. We present three main results. First, we prove that if both invader and resident are on complete dispersal graphs, then removing a single edge in the invader’s dispersal graph reduces its fixation probability. Second, we show that for certain island models higher invader’s connectivity increases its fixation probability, but the magnitude of the effect depends on the exact layout of the connections. Third, we show that for lattices the effect of different connectivity is comparable to that of different fitness: for large population size, the invader’s fixation probability is either constant or exponentially small, depending on whether it is more or less connected than the resident.' acknowledgement: K.C. acknowledges support from the ERC CoG 863818(ForM-SMArt). J.T. is supported by Center for Foundations ofModern Computer Science (Charles Univ. project UNCE/SCI/004). article_number: '20230355' article_processing_charge: Yes (in subscription journal) 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: Kamran full_name: Kaveh, Kamran last_name: Kaveh - 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, Kaveh K, Chatterjee K, Nowak MA. Evolutionary dynamics of mutants that modify population structure. Journal of the Royal Society, Interface. 2023;20(208). doi:10.1098/rsif.2023.0355 apa: Tkadlec, J., Kaveh, K., Chatterjee, K., & Nowak, M. A. (2023). Evolutionary dynamics of mutants that modify population structure. Journal of the Royal Society, Interface. The Royal Society. https://doi.org/10.1098/rsif.2023.0355 chicago: Tkadlec, Josef, Kamran Kaveh, Krishnendu Chatterjee, and Martin A. Nowak. “Evolutionary Dynamics of Mutants That Modify Population Structure.” Journal of the Royal Society, Interface. The Royal Society, 2023. https://doi.org/10.1098/rsif.2023.0355. ieee: J. Tkadlec, K. Kaveh, K. Chatterjee, and M. A. Nowak, “Evolutionary dynamics of mutants that modify population structure,” Journal of the Royal Society, Interface, vol. 20, no. 208. The Royal Society, 2023. ista: Tkadlec J, Kaveh K, Chatterjee K, Nowak MA. 2023. Evolutionary dynamics of mutants that modify population structure. Journal of the Royal Society, Interface. 20(208), 20230355. mla: Tkadlec, Josef, et al. “Evolutionary Dynamics of Mutants That Modify Population Structure.” Journal of the Royal Society, Interface, vol. 20, no. 208, 20230355, The Royal Society, 2023, doi:10.1098/rsif.2023.0355. short: J. Tkadlec, K. Kaveh, K. Chatterjee, M.A. Nowak, Journal of the Royal Society, Interface 20 (2023). date_created: 2023-12-10T23:00:58Z date_published: 2023-11-29T00:00:00Z date_updated: 2023-12-11T11:17:53Z day: '29' ddc: - '000' - '570' department: - _id: KrCh doi: 10.1098/rsif.2023.0355 ec_funded: 1 external_id: pmid: - '38016637' file: - access_level: open_access checksum: 2eefab13127c7786dbd33303c482a004 content_type: application/pdf creator: dernst date_created: 2023-12-11T11:10:32Z date_updated: 2023-12-11T11:10:32Z file_id: '14673' file_name: 2023_RoyalInterface_Tkadlec.pdf file_size: 1720243 relation: main_file success: 1 file_date_updated: 2023-12-11T11:10:32Z has_accepted_license: '1' intvolume: ' 20' issue: '208' language: - iso: eng month: '11' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' publication: Journal of the Royal Society, Interface publication_identifier: eissn: - 1742-5662 publication_status: published publisher: The Royal Society quality_controlled: '1' scopus_import: '1' status: public title: Evolutionary dynamics of mutants that modify population structure 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: 20 year: '2023' ... --- _id: '13258' abstract: - lang: eng text: Many human interactions feature the characteristics of social dilemmas where individual actions have consequences for the group and the environment. The feedback between behavior and environment can be studied with the framework of stochastic games. In stochastic games, the state of the environment can change, depending on the choices made by group members. Past work suggests that such feedback can reinforce cooperative behaviors. In particular, cooperation can evolve in stochastic games even if it is infeasible in each separate repeated game. In stochastic games, participants have an interest in conditioning their strategies on the state of the environment. Yet in many applications, precise information about the state could be scarce. Here, we study how the availability of information (or lack thereof) shapes evolution of cooperation. Already for simple examples of two state games we find surprising effects. In some cases, cooperation is only possible if there is precise information about the state of the environment. In other cases, cooperation is most abundant when there is no information about the state of the environment. We systematically analyze all stochastic games of a given complexity class, to determine when receiving information about the environment is better, neutral, or worse for evolution of cooperation. acknowledgement: 'This work was supported by the European Research Council CoG 863818 (ForM-SMArt) (to K.C.), the European Research Council Starting Grant 850529: E-DIRECT (to C.H.), the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement #754411 and the French Agence Nationale de la Recherche (under the Investissement d’Avenir programme, ANR-17-EURE-0010) (to M.K.).' article_number: '4153' article_processing_charge: Yes article_type: original author: - first_name: Maria full_name: Kleshnina, Maria id: 4E21749C-F248-11E8-B48F-1D18A9856A87 last_name: Kleshnina - first_name: Christian full_name: Hilbe, Christian id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87 last_name: Hilbe orcid: 0000-0001-5116-955X - first_name: Stepan full_name: Simsa, Stepan id: 409d615c-2f95-11ee-b934-90a352102c1e last_name: Simsa orcid: 0000-0001-6687-1210 - 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: Kleshnina M, Hilbe C, Simsa S, Chatterjee K, Nowak MA. The effect of environmental information on evolution of cooperation in stochastic games. Nature Communications. 2023;14. doi:10.1038/s41467-023-39625-9 apa: Kleshnina, M., Hilbe, C., Simsa, S., Chatterjee, K., & Nowak, M. A. (2023). The effect of environmental information on evolution of cooperation in stochastic games. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-39625-9 chicago: Kleshnina, Maria, Christian Hilbe, Stepan Simsa, Krishnendu Chatterjee, and Martin A. Nowak. “The Effect of Environmental Information on Evolution of Cooperation in Stochastic Games.” Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-39625-9. ieee: M. Kleshnina, C. Hilbe, S. Simsa, K. Chatterjee, and M. A. Nowak, “The effect of environmental information on evolution of cooperation in stochastic games,” Nature Communications, vol. 14. Springer Nature, 2023. ista: Kleshnina M, Hilbe C, Simsa S, Chatterjee K, Nowak MA. 2023. The effect of environmental information on evolution of cooperation in stochastic games. Nature Communications. 14, 4153. mla: Kleshnina, Maria, et al. “The Effect of Environmental Information on Evolution of Cooperation in Stochastic Games.” Nature Communications, vol. 14, 4153, Springer Nature, 2023, doi:10.1038/s41467-023-39625-9. short: M. Kleshnina, C. Hilbe, S. Simsa, K. Chatterjee, M.A. Nowak, Nature Communications 14 (2023). date_created: 2023-07-23T22:01:11Z date_published: 2023-07-12T00:00:00Z date_updated: 2023-12-13T11:42:38Z day: '12' ddc: - '000' department: - _id: KrCh doi: 10.1038/s41467-023-39625-9 ec_funded: 1 external_id: isi: - '001029450400031' pmid: - '37438341' file: - access_level: open_access checksum: 5aceefdfe76686267b93ae4fe81899f1 content_type: application/pdf creator: dernst date_created: 2023-07-31T11:32:36Z date_updated: 2023-07-31T11:32:36Z file_id: '13337' file_name: 2023_NatureComm_Kleshnina.pdf file_size: 1601682 relation: main_file success: 1 file_date_updated: 2023-07-31T11:32:36Z has_accepted_license: '1' intvolume: ' 14' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13336' relation: research_data status: public scopus_import: '1' status: public title: The effect of environmental information on evolution of cooperation in stochastic 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: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2023' ... --- _id: '13336' article_processing_charge: No author: - first_name: Maria full_name: Kleshnina, Maria id: 4E21749C-F248-11E8-B48F-1D18A9856A87 last_name: Kleshnina citation: ama: 'Kleshnina M. kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games. 2023. doi:10.5281/ZENODO.8059564' apa: 'Kleshnina, M. (2023). kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games. Zenodo. https://doi.org/10.5281/ZENODO.8059564' chicago: 'Kleshnina, Maria. “Kleshnina/Stochgames_info: The Effect of Environmental Information on Evolution of Cooperation in Stochastic Games.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8059564.' ieee: 'M. Kleshnina, “kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games.” Zenodo, 2023.' ista: 'Kleshnina M. 2023. kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games, Zenodo, 10.5281/ZENODO.8059564.' mla: 'Kleshnina, Maria. Kleshnina/Stochgames_info: The Effect of Environmental Information on Evolution of Cooperation in Stochastic Games. Zenodo, 2023, doi:10.5281/ZENODO.8059564.' short: M. Kleshnina, (2023). date_created: 2023-07-31T11:30:46Z date_published: 2023-06-20T00:00:00Z date_updated: 2023-12-13T11:42:37Z day: '20' ddc: - '000' department: - _id: KrCh doi: 10.5281/ZENODO.8059564 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.8059564 month: '06' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '13258' relation: used_in_publication status: public status: public title: 'kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games' type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- _id: '13967' abstract: - lang: eng text: 'A classic solution technique for Markov decision processes (MDP) and stochastic games (SG) is value iteration (VI). Due to its good practical performance, this approximative approach is typically preferred over exact techniques, even though no practical bounds on the imprecision of the result could be given until recently. As a consequence, even the most used model checkers could return arbitrarily wrong results. Over the past decade, different works derived stopping criteria, indicating when the precision reaches the desired level, for various settings, in particular MDP with reachability, total reward, and mean payoff, and SG with reachability.In this paper, we provide the first stopping criteria for VI on SG with total reward and mean payoff, yielding the first anytime algorithms in these settings. To this end, we provide the solution in two flavours: First through a reduction to the MDP case and second directly on SG. The former is simpler and automatically utilizes any advances on MDP. The latter allows for more local computations, heading towards better practical efficiency.Our solution unifies the previously mentioned approaches for MDP and SG and their underlying ideas. To achieve this, we isolate objective-specific subroutines as well as identify objective-independent concepts. These structural concepts, while surprisingly simple, form the very essence of the unified solution.' acknowledgement: This research was funded in part by DFG projects 383882557 “SUV” and 427755713 “GOPro”. article_processing_charge: No author: - first_name: Jan full_name: Kretinsky, Jan id: 44CEF464-F248-11E8-B48F-1D18A9856A87 last_name: Kretinsky orcid: 0000-0002-8122-2881 - first_name: Tobias full_name: Meggendorfer, Tobias id: b21b0c15-30a2-11eb-80dc-f13ca25802e1 last_name: Meggendorfer orcid: 0000-0002-1712-2165 - first_name: Maximilian full_name: Weininger, Maximilian id: 02ab0197-cc70-11ed-ab61-918e71f56881 last_name: Weininger citation: ama: 'Kretinsky J, Meggendorfer T, Weininger M. Stopping criteria for value iteration on stochastic games with quantitative objectives. In: 38th Annual ACM/IEEE Symposium on Logic in Computer Science. Vol 2023. Institute of Electrical and Electronics Engineers; 2023. doi:10.1109/LICS56636.2023.10175771' apa: 'Kretinsky, J., Meggendorfer, T., & Weininger, M. (2023). Stopping criteria for value iteration on stochastic games with quantitative objectives. In 38th Annual ACM/IEEE Symposium on Logic in Computer Science (Vol. 2023). Boston, MA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS56636.2023.10175771' chicago: Kretinsky, Jan, Tobias Meggendorfer, and Maximilian Weininger. “Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives.” In 38th Annual ACM/IEEE Symposium on Logic in Computer Science, Vol. 2023. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/LICS56636.2023.10175771. ieee: J. Kretinsky, T. Meggendorfer, and M. Weininger, “Stopping criteria for value iteration on stochastic games with quantitative objectives,” in 38th Annual ACM/IEEE Symposium on Logic in Computer Science, Boston, MA, United States, 2023, vol. 2023. ista: 'Kretinsky J, Meggendorfer T, Weininger M. 2023. Stopping criteria for value iteration on stochastic games with quantitative objectives. 38th Annual ACM/IEEE Symposium on Logic in Computer Science. LICS: Symposium on Logic in Computer Science vol. 2023.' mla: Kretinsky, Jan, et al. “Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives.” 38th Annual ACM/IEEE Symposium on Logic in Computer Science, vol. 2023, Institute of Electrical and Electronics Engineers, 2023, doi:10.1109/LICS56636.2023.10175771. short: J. Kretinsky, T. Meggendorfer, M. Weininger, in:, 38th Annual ACM/IEEE Symposium on Logic in Computer Science, Institute of Electrical and Electronics Engineers, 2023. conference: end_date: 2023-06-29 location: Boston, MA, United States name: 'LICS: Symposium on Logic in Computer Science' start_date: 2023-06-26 date_created: 2023-08-06T22:01:10Z date_published: 2023-07-01T00:00:00Z date_updated: 2023-12-13T12:06:10Z day: '01' department: - _id: KrCh doi: 10.1109/LICS56636.2023.10175771 external_id: arxiv: - '2304.09930' isi: - '001036707700042' intvolume: ' 2023' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2304.09930 month: '07' oa: 1 oa_version: Preprint publication: 38th Annual ACM/IEEE Symposium on Logic in Computer Science publication_identifier: isbn: - '9798350335873' issn: - 1043-6871 publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Stopping criteria for value iteration on stochastic games with quantitative objectives type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2023 year: '2023' ... --- _id: '12833' abstract: - lang: eng text: 'The input to the token swapping problem is a graph with vertices v1, v2, . . . , vn, and n tokens with labels 1,2, . . . , n, one on each vertex. The goal is to get token i to vertex vi for all i= 1, . . . , n using a minimum number of swaps, where a swap exchanges the tokens on the endpoints of an edge.Token swapping on a tree, also known as “sorting with a transposition tree,” is not known to be in P nor NP-complete. We present some partial results: 1. An optimum swap sequence may need to perform a swap on a leaf vertex that has the correct token (a “happy leaf”), disproving a conjecture of Vaughan. 2. Any algorithm that fixes happy leaves—as all known approximation algorithms for the problem do—has approximation factor at least 4/3. Furthermore, the two best-known 2-approximation algorithms have approximation factor exactly 2. 3. A generalized problem—weighted coloured token swapping—is NP-complete on trees, but solvable in polynomial time on paths and stars. In this version, tokens and vertices have colours, and colours have weights. The goal is to get every token to a vertex of the same colour, and the cost of a swap is the sum of the weights of the two tokens involved.' acknowledgement: "This work was begun at the University of Waterloo and was partially supported by the Natural Sciences and Engineering Council of Canada (NSERC).\r\n" article_number: '9' article_processing_charge: No article_type: original author: - first_name: Ahmad full_name: Biniaz, Ahmad last_name: Biniaz - first_name: Kshitij full_name: Jain, Kshitij last_name: Jain - first_name: Anna full_name: Lubiw, Anna last_name: Lubiw - first_name: Zuzana full_name: Masárová, Zuzana id: 45CFE238-F248-11E8-B48F-1D18A9856A87 last_name: Masárová orcid: 0000-0002-6660-1322 - first_name: Tillmann full_name: Miltzow, Tillmann last_name: Miltzow - first_name: Debajyoti full_name: Mondal, Debajyoti last_name: Mondal - first_name: Anurag Murty full_name: Naredla, Anurag Murty last_name: Naredla - first_name: Josef full_name: Tkadlec, Josef id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87 last_name: Tkadlec orcid: 0000-0002-1097-9684 - first_name: Alexi full_name: Turcotte, Alexi last_name: Turcotte citation: ama: Biniaz A, Jain K, Lubiw A, et al. Token swapping on trees. Discrete Mathematics and Theoretical Computer Science. 2023;24(2). doi:10.46298/DMTCS.8383 apa: Biniaz, A., Jain, K., Lubiw, A., Masárová, Z., Miltzow, T., Mondal, D., … Turcotte, A. (2023). Token swapping on trees. Discrete Mathematics and Theoretical Computer Science. EPI Sciences. https://doi.org/10.46298/DMTCS.8383 chicago: Biniaz, Ahmad, Kshitij Jain, Anna Lubiw, Zuzana Masárová, Tillmann Miltzow, Debajyoti Mondal, Anurag Murty Naredla, Josef Tkadlec, and Alexi Turcotte. “Token Swapping on Trees.” Discrete Mathematics and Theoretical Computer Science. EPI Sciences, 2023. https://doi.org/10.46298/DMTCS.8383. ieee: A. Biniaz et al., “Token swapping on trees,” Discrete Mathematics and Theoretical Computer Science, vol. 24, no. 2. EPI Sciences, 2023. ista: Biniaz A, Jain K, Lubiw A, Masárová Z, Miltzow T, Mondal D, Naredla AM, Tkadlec J, Turcotte A. 2023. Token swapping on trees. Discrete Mathematics and Theoretical Computer Science. 24(2), 9. mla: Biniaz, Ahmad, et al. “Token Swapping on Trees.” Discrete Mathematics and Theoretical Computer Science, vol. 24, no. 2, 9, EPI Sciences, 2023, doi:10.46298/DMTCS.8383. short: A. Biniaz, K. Jain, A. Lubiw, Z. Masárová, T. Miltzow, D. Mondal, A.M. Naredla, J. Tkadlec, A. Turcotte, Discrete Mathematics and Theoretical Computer Science 24 (2023). date_created: 2023-04-16T22:01:08Z date_published: 2023-01-18T00:00:00Z date_updated: 2024-01-04T12:42:09Z day: '18' ddc: - '000' department: - _id: KrCh - _id: HeEd - _id: UlWa doi: 10.46298/DMTCS.8383 external_id: arxiv: - '1903.06981' file: - access_level: open_access checksum: 439102ea4f6e2aeefd7107dfb9ccf532 content_type: application/pdf creator: dernst date_created: 2023-04-17T08:10:28Z date_updated: 2023-04-17T08:10:28Z file_id: '12844' file_name: 2022_DMTCS_Biniaz.pdf file_size: 2072197 relation: main_file success: 1 file_date_updated: 2023-04-17T08:10:28Z has_accepted_license: '1' intvolume: ' 24' issue: '2' language: - iso: eng month: '01' oa: 1 oa_version: Published Version publication: Discrete Mathematics and Theoretical Computer Science publication_identifier: eissn: - 1365-8050 issn: - 1462-7264 publication_status: published publisher: EPI Sciences quality_controlled: '1' related_material: record: - id: '7950' relation: earlier_version status: public scopus_import: '1' status: public title: Token swapping on trees 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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 24 year: '2023' ...