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Title: Coevolution of cognition and cooperation in structured populations under reinforcement learning
(Submitted on 20 Jun 2023 (v1), last revised 27 Mar 2024 (this version, v2))
Abstract: We study the evolution of behavior under reinforcement learning in a Prisoner's Dilemma where agents interact in a regular network and can learn about whether they play one-shot or repeatedly by incurring a cost of deliberation. With respect to other behavioral rules used in the literature, (i) we confirm the existence of a threshold value of the probability of repeated interaction, switching the emergent behavior from intuitive defector to dual-process cooperator; (ii) we find a different role of the node degree, with smaller degrees reducing the evolutionary success of dual-process cooperators; (iii) we observe a higher frequency of deliberation.
Submission history
From: Rossana Mastrandrea [view email][v1] Tue, 20 Jun 2023 08:33:07 GMT (184kb,D)
[v2] Wed, 27 Mar 2024 10:51:35 GMT (188kb,D)
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