Coevolution of Mercy and Altruistic Cooperation
Zhijian Wang, Weidong Luo

TL;DR
This paper explores how mercy, modeled as sharing resources with poorer neighbors, can promote altruistic cooperation among agents, expanding understanding beyond punishment and group selection in evolutionary game theory.
Contribution
It introduces a computational model demonstrating that mercy can evolve and foster altruistic cooperation in agent networks, a novel perspective in evolutionary game theory.
Findings
Mercy leads to increased altruistic cooperation in simulations
Sharing resources with poorer neighbors stabilizes cooperative behavior
Mercy can evolve alongside other social behaviors in networked agents
Abstract
Besides altruistic punishment and group selection, we argue that, mercy can lead to altruistic cooperation. Modeling the micro economic behavior of the mercy, with two alleles of genes (Cooperation or Defection & Mercy or No mercy) agents in a network, we present the computational simulation results in the spatiotemporal evolution game theory frame to prove the above argument. Here, mercy (or as 'Love thy neighbors') means, the agents, with mercy preference, might share his own fitness with his poorest neighbor who poorer than himself.
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Game Theory and Applications · Economic theories and models
