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The Emergence of Reactive Strategies in Simulated Heterogeneous Populations

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  • Ilan Fischer

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    Abstract

    The computer simulation study explores the impact of the duration of social impact on the generation and stabilization of cooperative strategies. Rather than seeding the simulations with a finite set of strategies, a continuous distribution of strategies is being defined. Members of heterogeneous populations were characterized by a pair of probabilistic reactive strategies: the probability to respond to cooperation by cooperation and the probability to respond to defection by cooperation. This generalized reactive strategy yields the standard TFT mechanism, the All-Cooperate, All-Defect and Bully strategies as special cases. Pairs of strategies interacted through a Prisoner's Dilemma game and exerted social influence on all other members. Manipulating: (i) the initial distribution of populations' strategies, and (ii) the duration of social influence, we monitored the conditions leading to the emergence and stabilization of cooperative strategies. Results show that: (1) The duration of interactions between pairs of strategies constitutes a crucial factor for the emergence and stabilization of cooperative strategies, (2) Unless sufficient learning intervals are provided, initializing the simulations with cooperative populations does not guarantee that cooperation will sustain.

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    Bibliographic Info

    Article provided by Springer in its journal Theory and Decision.

    Volume (Year): 55 (2003)
    Issue (Month): 4 (December)
    Pages: 289-314

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    Handle: RePEc:kap:theord:v:55:y:2003:i:4:p:289-314

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    Web page: http://www.springerlink.com/link.asp?id=100341

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    Cited by:
    1. Fischer, Ilan & Sullivan, Oriel, 2007. "Evolutionary modeling of time-use vectors," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 120-143, January.

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