Evolutionary game selection creates cooperative environments
Creators
- 1. Department of Network and Data Science, Central European University Vienna, Vienna 1100, Austria
- 2. School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom
- 3. Dipartimento di Fisica ed Astronomia, Università di Catania and INFN, Catania I-95123, Italy
- 4. Department of Condensed Matter Physics, University of Zaragoza, 50009 Zaragoza, Spain
- 5. GOTHAM Laboratory, Institute of Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain
- 6. Center for Computational Social Science, University of Kobe, 657-8501 Kobe, Japan
- 7. Complexity Science Hub Vienna, A-1080 Vienna, Austria
Description
The emergence of collective cooperation in competitive environments is a well-known phenomenon in biology, economics, and social systems. While most evolutionary game models focus on the evolution of strategies for a fixed game, how strategic decisions coevolve with the environment has so far mostly been overlooked. Here, we consider a game selection model where not only the strategies but also the game can change over time following evolutionary principles. Our results show that coevolutionary dynamics of games and strategies can induce novel collective phenomena, fostering the emergence of cooperative environments. When the model is taken on structured populations the architecture of the interaction network can significantly amplify pro-social behavior, with a critical role played by network heterogeneity and the presence of clustered groups of similar players, distinctive features observed in real-world populations. By unveiling the link between the evolution of strategies and games for different structured populations, our model sheds new light on the origin of social dilemmas ubiquitously observed in real-world social systems.
Additional details
Identifiers
- DOI
- 10.1103/PhysRevE.110.014306;
- arXiv
- arXiv:2311.11128;
- Crossref Funder ID
- 10.13039/501100000780; 10.13039/100000181; 10.13039/501100004837;
Publishing Information
- Journal Title
- Physical Review E
- Journal Volume
- 110
- Journal Issue
- 1
- Journal Page Range
- 8 pgs.
- ISSN
- 1089-3787
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- BEHAVIOR; BIOLOGY; COOPERATION; DECISION MAKING; DYNAMICAL SYSTEMS; ENVIRONMENT; EVOLUTION; GAME THEORY; GLOBAL ASPECTS; GRAPH THEORY; INTERACTIONS; MATHEMATICAL MODELS; NETWORK ANALYSIS; POPULATIONS; REAL TIME SYSTEMS; VISIBLE RADIATION
- Descriptors DEC
- ELECTROMAGNETIC RADIATION; MATHEMATICS; RADIATIONS; STATISTICS
Optional Information
- Copyright
- ©2024 American Physical Society
- Contract/Grant/Project number
- E63-C22-0021-20006; FA8655-22-1-7025; PID2020-113582GB-I00; E36-23R
- Notes
- Record automatically processed
- Funding organization
- European Commission; Air Force Office of Scientific Research; Ministerio de Ciencia e Innovación; Departamento de Industria e Innovaweción del Gobierno de Aragón y Fondo Social Europeo