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The effect of memory and vision range on cooperators dynamics in donation game

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  • Niloufar Najafian

    (Isfahan University of Technology)

  • Farhad Ferdowsi

    (Isfahan University of Technology)

  • Keivan Aghababaei Samani

    (Isfahan University of Technology)

Abstract

Although most studies in the field of game-driven population dynamics are concentrated on imitation update rule, it is the logit update rule that is dominated in many cases in society. Despite the fact that it may seem to be an intelligence method to choose the most profitable strategy, it often can lead to a lower level of cooperation in society. This study aims at investigating the effect of using an extra source of information in the process of each strategy profitability estimation. Our simulation shows that making decisions based on these new sources of information can improve the logit update rule and make cooperators more resistant against defection. Moreover, increasing information gathering area and memory power as much as possible does not necessarily in the favor of cooperation level in society. instead, maximum average cooperation level occurs in moderate values of vision range and memory damping coefficient. Effective probable mechanisms in happening such a phenomenon are also discussed. Graphic abstract

Suggested Citation

  • Niloufar Najafian & Farhad Ferdowsi & Keivan Aghababaei Samani, 2021. "The effect of memory and vision range on cooperators dynamics in donation game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(5), pages 1-8, May.
  • Handle: RePEc:spr:eurphb:v:94:y:2021:i:5:d:10.1140_epjb_s10051-021-00101-2
    DOI: 10.1140/epjb/s10051-021-00101-2
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    1. Blume Lawrence E., 1993. "The Statistical Mechanics of Strategic Interaction," Games and Economic Behavior, Elsevier, vol. 5(3), pages 387-424, July.
    2. Rui Cong & Bin Wu & Yuanying Qiu & Long Wang, 2012. "Evolution of Cooperation Driven by Reputation-Based Migration," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-7, May.
    3. Monderer, Dov & Shapley, Lloyd S., 1996. "Fictitious Play Property for Games with Identical Interests," Journal of Economic Theory, Elsevier, vol. 68(1), pages 258-265, January.
    4. Xu-Sheng Liu & Zhi-Xi Wu & Michael Z. Q. Chen & Jian-Yue Guan, 2017. "Evolutionary fate of memory-one strategies in repeated prisoner’s dilemma game in structured populations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(7), pages 1-7, July.
    5. Erez Lieberman & Christoph Hauert & Martin A. Nowak, 2005. "Evolutionary dynamics on graphs," Nature, Nature, vol. 433(7023), pages 312-316, January.
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