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Risk aversion and mobility in the public goods game

Published: 12 July 2014 Publication History

Abstract

In this paper, we study the evolutionary dynamics of the public goods game where the population of mobile individuals is divided into separate groups. We extend the usual discrete strategy game, by introducing "conditional investors" who have a real-value genetic trait that determines their level of risk aversion, or willingness to invest into the common pool. At the end of each round of the game, each individual has an opportunity to (a) update their risk aversion trait using a form of imitation from within their current group, and (b) to switch groups if they are not satisfied with their payoff in their current group. Detailed simulation experiments show that investment levels can be maintained within groups. The mean value of the risk aversion trait is significantly lower in smaller groups and is correlated with the underlying migration mode. In the conditional migration scenarios, levels of investment consistent with risk aversion emerge.

References

[1]
A. Hintze, R. S. Olson, C. Adami, and R. Hertwig. Risk aversion as an evolutionary adaptation. arXiv preprint arXiv:1310.6338, 2013.
[2]
T. Killingback, J. Bieri, and T. Flatt. Evolution in group-structured populations can resolve the tragedy of the commons. Proceedings. Biological sciences / The Royal Society, 273(1593):1477--81, June 2006.
[3]
T. Sasaki, I. Okada, and T. Unemi. Probabilistic participation in public goods games. Proceedings of the Royal Society B: Biological Sciences, 274(1625):2639--2642, 2007.
[4]
A. Szolnoki and M. Perc. Resolving social dilemmas on evolving random networks. EPL (Europhysics Letters), 86, 2009.
[5]
R. Chiong and M. Kirley. A multi-agent based migration model for evolving cooperation in the spatial n-player snowdrift game. In PRIMA 2013: Principles and Practice of Multi-Agent Systems, pages 70--84. Springer, 2013.

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    cover image ACM Conferences
    GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
    July 2014
    1524 pages
    ISBN:9781450328814
    DOI:10.1145/2598394
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 12 July 2014

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    Author Tags

    1. mobility
    2. public goods game
    3. risk aversion
    4. social dilemma

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    GECCO '14
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    GECCO '14: Genetic and Evolutionary Computation Conference
    July 12 - 16, 2014
    BC, Vancouver, Canada

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    GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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