Dynamics of heuristics selection for cooperative behaviour
Felipe Maciel Cardoso, Carlos Gracia-Lazaro, and Yamir Moreno

TL;DR
This paper investigates how cooperative strategies emerge through an evolutionary heuristics selection model, highlighting the roles of reciprocity, punishment, and kinship in fostering cooperation.
Contribution
It introduces a novel heuristics selection model using evolutionary algorithms to study the emergence of cooperation from basic mechanisms.
Findings
Low mutation rates promote cooperation through heuristics selection.
Reciprocity and punishment are key strategies for cooperation.
Kinship influences cooperative behavior when genetic relatedness is considered.
Abstract
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…
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