Emergence of cooperation promoted by higher-order strategy updates
Dini Wang, Peng Yi, Yiguang Hong, Jie Chen, Gang Yan

TL;DR
This paper explores how higher-order strategy updates in multi-group populations influence the emergence of cooperation, revealing conditions and mechanisms that promote cooperative behavior in complex social networks.
Contribution
It introduces mathematical conditions for cooperation emergence driven by higher-order strategy updates and identifies mechanisms that significantly enhance cooperation in multi-group settings.
Findings
Higher-order strategy updates can promote cooperation under specific conditions.
Overlaps between groups significantly enhance cooperative outcomes.
A mechanism combining optimality and randomness effectively fosters cooperation.
Abstract
Cooperation is fundamental to human societies, and the interaction structure among individuals profoundly shapes its emergence and evolution. In real-world scenarios, cooperation prevails in multi-group (higher-order) populations, beyond just dyadic behaviors. Despite recent studies on group dilemmas in higher-order networks, the exploration of cooperation driven by higher-order strategy updates remains limited due to the intricacy and indivisibility of group-wise interactions. Here we investigate four categories of higher-order mechanisms for strategy updates in public goods games and establish their mathematical conditions for the emergence of cooperation. Such conditions uncover the impact of both higher-order strategy updates and network properties on evolutionary outcomes, notably highlighting the enhancement of cooperation by overlaps between groups. Interestingly, we discover…
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Taxonomy
TopicsBusiness Strategy and Innovation
