ArticleProceedings of the National Academy of Sciences of the United States of America2017
Memory-
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Article
- Payoff equivalence and complete strategy spaces of direct reciprocity.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- From simultaneous to leader-follower play in direct reciprocity.PNAS nexus · 2026Article
- A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games.Nature communications · 2025Article
- Unilateral incentive alignment in two-agent stochastic games.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Evolving general cooperation with a Bayesian theory of mind.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Conditional cooperation with longer memory.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Properties of winning Iterated Prisoner's Dilemma strategies.PLoS computational biology · 2024Article
- Evolution of cooperation in multichannel games on multiplex networks.PLoS computational biology · 2024Article
- Behavioural strategies in simultaneous and alternating prisoner's dilemma games with/without voluntary participation.Scientific reports · 2024Article
- Evolution of reciprocity with limited payoff memory.Proceedings. Biological sciences · 2024Article
- Resolving selfish and spiteful interdependent conflict.Proceedings. Biological sciences · 2024Review
- A geometric process of evolutionary game dynamics.Journal of the Royal Society, Interface · 2023Article
- The effect of environmental information on evolution of cooperation in stochastic games.Nature communications · 2023Article
- Grouping promotes both partnership and rivalry with long memory in direct reciprocity.PLoS computational biology · 2023Article
- Mutation enhances cooperation in direct reciprocity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Evolution of direct reciprocity in group-structured populations.Scientific reports · 2022Article
- Evolutionary instability of selfish learning in repeated games.PNAS nexus · 2022Article
- Direct reciprocity between individuals that use different strategy spaces.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans routinely use conditionally cooperative strategies when interacting in repeated social dilemmas. They are more likely to cooperate if others cooperated before, and are ready to retaliate if others defected. To capture the emergence of reciprocity, most previous models consider subjects who can only choose from a restricted set of representative strategies, or who react to the outcome of the very last round only. As players memorize more rounds, the dimension of the strategy space increases exponentially. This increasing computational complexity renders simulations for individuals with higher cognitive abilities infeasible, especially if multiplayer interactions are taken into account. Here, we take an axiomatic approach instead. We propose several properties that a robust cooperative strategy for a repeated multiplayer dilemma should have. These properties naturally lead to a unique class of cooperative strategies, which contains the classical Win-Stay Lose-Shift rule as a special case. A comprehensive numerical analysis for the prisoner's dilemma and for the public goods game suggests that strategies of this class readily evolve across various memory-
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.