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Evolving networks for social optima in the “weakest link game”

Author

Listed:
  • Giovanni Rossi

    (The University of Bologna)

  • Stefano Arteconi

    (The University of Bologna)

  • David Hales

    (The University of Bologna)

Abstract

Previous models have applied evolving networks based on node-level “copy and rewire” rules to simple two player games (e.g. the Prisoner’s Dilemma). It was found that such models tended to evolve toward socially optimal behavior. Here we apply a similar technique to a more tricky co-ordination game (the weakest link game) requiring interactions from several players (nodes) that may play several strategies. We define a variant of the game with several equilibria—each offering increasing social benefit. We found that the evolving network functions to select and spread more optimal equilibria while resisting invasion by lower ones. Hence the network acts as a kind of “social ratchet” selecting for increasing social benefit. Such networks have applications in peer-to-peer computing and may have implications for understanding social systems.

Suggested Citation

  • Giovanni Rossi & Stefano Arteconi & David Hales, 2009. "Evolving networks for social optima in the “weakest link game”," Computational and Mathematical Organization Theory, Springer, vol. 15(2), pages 95-108, June.
    • Handle: RePEc:spr:comaot:v:15:y:2009:i:2:d:10.1007_s10588-008-9051-1
    DOI: 10.1007/s10588-008-9051-1
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    References listed on IDEAS

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