ArticleNature communications2023
The effect of environmental information on evolution of cooperation in stochastic games.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A game-theoretic attack-defense framework for the study of network resilience.Nature communications · 2026Article
- Coevolutionary dynamics of cooperation, risk, and cost in collective risk games.PLoS computational biology · 2026Article
- A Bertrand model with Brownian motion and behavioral errors.Scientific reports · 2025Article
- Article
- Human intergroup coordination in a hierarchical multi-agent sensorimotor task arises from concurrent co-optimization.Scientific reports · 2025Article
- Dynamics of cooperation in concurrent games.Nature communications · 2025Article
- Cooperative environmental engineering via biofilm formation can stabilize consumer-resource systems.PloS one · 2025Article
- Investigating the impact of environmental feedback on the optional prisoner's dilemma for insights into cyclic dominance and evolution of cooperation.Royal Society open science · 2024Article
- A knowledge curse: how knowledge can reduce human welfare.Royal Society open science · 2024Article
- Complexity synchronization in emergent intelligence.Scientific reports · 2024Article
- The effect of environmental information on evolution of cooperation in stochastic games.Nature communications · 2023Article
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Authors and funding
5 authors.
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Abstract
Many human interactions feature the characteristics of social dilemmas where individual actions have consequences for the group and the environment. The feedback between behavior and environment can be studied with the framework of stochastic games. In stochastic games, the state of the environment can change, depending on the choices made by group members. Past work suggests that such feedback can reinforce cooperative behaviors. In particular, cooperation can evolve in stochastic games even if it is infeasible in each separate repeated game. In stochastic games, participants have an interest in conditioning their strategies on the state of the environment. Yet in many applications, precise information about the state could be scarce. Here, we study how the availability of information (or lack thereof) shapes evolution of cooperation. Already for simple examples of two state games we find surprising effects. In some cases, cooperation is only possible if there is precise information about the state of the environment. In other cases, cooperation is most abundant when there is no information about the state of the environment. We systematically analyze all stochastic games of a given complexity class, to determine when receiving information about the environment is better, neutral, or worse for evolution of cooperation.
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