Evolution of conditional cooperation in collective-risk social dilemma with repeated group interactions
Shijia Hua, Zitong Hui, Linjie Liu

TL;DR
This paper develops a theoretical evolutionary game model to study how conditional cooperation strategies influence the emergence and stability of cooperation in repeated collective-risk social dilemmas, highlighting the roles of risk levels and thresholds.
Contribution
It introduces a novel model incorporating conditional strategies based on risk tolerance and collective goals, revealing their impact on cooperation evolution in repeated interactions.
Findings
Conditional cooperation promotes cooperation, especially at low risk levels.
Higher risk thresholds encourage the emergence of cooperative behavior.
Timely shifts from defection to cooperation help sustain high cooperation levels.
Abstract
The evolution and long-term sustenance of cooperation has consistently piqued scholarly interest across the disciplines of evolutionary biology and social sciences. Previous theoretical and experimental studies on collective risk social dilemma games have revealed that the risk of collective failure will affect the evolution of cooperation. In the real world individuals usually adjust their decisions based on environmental factors such as risk intensity and cooperation level. However, it is still not well understood how such conditional behaviors affect the evolution of cooperation in repeated group interactions scenario from a theoretical perspective. Here, we construct an evolutionary game model with repeated interactions, in which defectors decide whether to cooperate in subsequent rounds of the game based on whether the risk exceeds their tolerance threshold and whether the number…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Evolutionary Psychology and Human Behavior
