The Evolution of Altruistic Rationality Provides a Solution to Social Dilemmas via Rational Reciprocity
Mohammad Salahshour, Iain D. Couzin

TL;DR
This paper demonstrates how rational agents with subjective payoff perceptions can evolve to promote cooperation and solve social dilemmas through rational reciprocity, challenging traditional views of self-interested evolution.
Contribution
It introduces an evolutionary model showing that rational agents with distorted perceptions can evolve to foster cooperation and solve social dilemmas.
Findings
Rational agents with subjective payoffs can invade rational populations.
Subjective perceptions lead to behavioral diversity and cooperation.
Agents perceive games as coordination games, solving strategic dilemmas.
Abstract
Decades of scientific inquiry have sought to understand how evolution fosters cooperation, a concept seemingly at odds with the belief that evolution should produce rational, self-interested individuals. Most previous work has focused on the evolution of cooperation among boundedly rational individuals whose decisions are governed by behavioral rules that do not need to be rational. Here, using an evolutionary model, we study how altruism can evolve in a community of rational agents and promote cooperation. We show that in both well-mixed and structured populations, a population of objectively rational agents is readily invaded by mutant individuals who make rational decisions but evolve a distorted (i.e., subjective) perception of their payoffs. This promotes behavioral diversity and gives rise to the evolution of rational, other-regarding agents who naturally solve all the known…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Game Theory and Applications
