99086 20210902121941.0 doi 10.1088/1367-2630/abcb70 sideral 122328 ART-2020-122328 eng Maciel Cardoso, F. Universidad de Zaragoza (orcid)0000-0002-2789-9250 Dynamics of heuristics selection for cooperative behaviour 2020 Access copy available to the general public Unrestricted Situations involving cooperative behaviour are widespread among animals and humans alike. Game theory and evolutionary dynamics have provided the theoretical and computational grounds to understand what are the mechanisms that allow for such cooperation. Studies in this area usually take into consideration different behavioural strategies and investigate how they can be fixed in the population under evolving rules. However, how those strategies emerged from basic evolutionary mechanisms continues to be not fully understood. To address this issue, here we study the emergence of cooperative strategies through a model of heuristics selection based on evolutionary algorithms. In the proposed model, agents interact with other players according to a heuristic specified by their genetic code and reproduce—at a longer time scale—proportionally to their fitness. We show that the system can evolve to cooperative regimes for low mutation rates through heuristics selection while increasing the mutation decreases the level of cooperation. Our analysis of possible strategies shows that reciprocity and punishment are the main ingredients for cooperation to emerge, and the emerging heuristics would likely cooperate in one-shot interactions. Additionally, we show that if in addition to behavioural rules, genetic relatedness is included, then kinship plays a relevant role, changing emerging strategies significantly. Our results illustrate that our evolutionary heuristics model is a generic and powerful tool to study the evolution of cooperative behaviour. info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R info:eu-repo/grantAgreement/ES/DGA/UZ-I-2015-022-PIP info:eu-repo/grantAgreement/ES/MINECO-FEDER/FIS2017-87519-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.729 2020 PHYSICS, MULTIDISCIPLINARY 22 / 85 = 0.259 2020 Q2 T1 1.584 2020 Physics and Astronomy (miscellaneous) 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gracia-Lázaro, C. Universidad de Zaragoza (orcid)0000-0002-9769-8796 Moreno, Y. Universidad de Zaragoza (orcid)0000-0002-0895-1893 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 22, 12 (2020), 123037 [21 pp] New j. phys. New Journal of Physics 1367-2630 967658 http://zaguan.unizar.es/record/99086/files/texto_completo.pdf Versión publicada 2442482 http://zaguan.unizar.es/record/99086/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:99086 articulos driver 2021-09-02-11:01:22 ARTICLE