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Updated: Jun 16, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Evolutionary game selection creates cooperative environments
Onkar Sadekar1, Andrea Civilini2,3, Jesús Gómez-Gardeñes4,5,6
1Department of Network and Data Science, <a href="https://ror.org/02zx40v98">Central European University</a> Vienna, Vienna 1100, Austria.
Abstract:
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.
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