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Evolution of cooperative strategies from first principles

Author

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  • Mikhail Burtsev

    (Keldysh Institute of Applied Mathematics of RAS)

  • Peter Turchin

    (University of Connecticut)

Abstract

Ruffling the feathers Explaining the evolution of cooperation is one of the trickiest problems in evolutionary biology. Modelling interactions using game theory has yielded dividends, but this approach is often limited by a small set of possible strategies. A new approach, using a computer model with an expanded range of possible strategies, should provide a more stringent test of the theory. This model really lets the players off the leash; the notional organisms can even make their own rules as they go along. The result is a rich ecology of cooperative behaviour never before seen in such simulations, with cooperative 'starlings' and 'ravens' joining the 'hawks' and 'doves' of conventional game theory.

Suggested Citation

  • Mikhail Burtsev & Peter Turchin, 2006. "Evolution of cooperative strategies from first principles," Nature, Nature, vol. 440(7087), pages 1041-1044, April.
    • Handle: RePEc:nat:nature:v:440:y:2006:i:7087:d:10.1038_nature04470
    DOI: 10.1038/nature04470
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    Cited by:

    1. Te Wu & Feng Fu & Long Wang, 2011. "Moving Away from Nasty Encounters Enhances Cooperation in Ecological Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    2. James Scott Cardinal & Jennifer Ann Loughmiller-Cardinal, 2024. "Information, Entanglement, and Emergent Social Norms: Searching for ‘Normal’," Societies, MDPI, vol. 14(11), pages 1-28, November.
    3. Melkikh, A.V. & Beregov, R.Y. & Sutormina, M.I., 2022. "Strange attractors and nontrivial solutions in games with three players," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    4. Jennifer A. Loughmiller-Cardinal & James Scott Cardinal, 2023. "The Behavior of Information: A Reconsideration of Social Norms," Societies, MDPI, vol. 13(5), pages 1-27, April.
    5. Eliassen, Sigrunn & Andersen, Bjørn Snorre & Jørgensen, Christian & Giske, Jarl, 2016. "From sensing to emergent adaptations: Modelling the proximate architecture for decision-making," Ecological Modelling, Elsevier, vol. 326(C), pages 90-100.

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