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The effect of environmental information on evolution of cooperation in stochastic games

Author

Listed:
  • Maria Kleshnina

    (IAST - Institute for Advanced Study in Toulouse)

  • Christian Hilbe

    (Unknown)

  • Stepan Simsa

    (Unknown)

  • Krishnendu Chatterjee

    (Unknown)

  • Martin A. Nowak

    (Unknown)

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.

Suggested Citation

  • Maria Kleshnina & Christian Hilbe & Stepan Simsa & Krishnendu Chatterjee & Martin A. Nowak, 2023. "The effect of environmental information on evolution of cooperation in stochastic games," Post-Print hal-04210205, HAL.
  • Handle: RePEc:hal:journl:hal-04210205
    DOI: 10.1038/s41467-023-39625-9
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    Cited by:

    1. Quan, Ji & Li, Haoze & Zhang, Man & Wang, Xianjia, 2024. "Cooperation dynamics in nonlinear spatial public goods games with endogenous synergy and discounting feedback," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    2. Yang, Guoli & Wu, Yu'e & Cavaliere, Matteo, 2024. "Information-driven cooperation on adaptive cyber-physical systems," Applied Mathematics and Computation, Elsevier, vol. 466(C).

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