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Game Theory for Networks. 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers

Research Article

Analyzing the Dynamics of Evolutionary Prisoner’s Dilemma on Structured Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30373-9_14,
        author={Ahmet Yazicioglu and Xiaoli Ma and Yucel Altunbasak},
        title={Analyzing the Dynamics of Evolutionary Prisoner’s Dilemma on Structured Networks},
        proceedings={Game Theory for Networks. 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers},
        proceedings_a={GAMENETS},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-30373-9_14}
    }
    
  • Ahmet Yazicioglu
    Xiaoli Ma
    Yucel Altunbasak
    Year: 2012
    Analyzing the Dynamics of Evolutionary Prisoner’s Dilemma on Structured Networks
    GAMENETS
    Springer
    DOI: 10.1007/978-3-642-30373-9_14
Ahmet Yazicioglu1,*, Xiaoli Ma1,*, Yucel Altunbasak1,*
  • 1: Georgia Institute of Technology
*Contact email: yasin@ece.gatech.edu, xiaoli@ece.gatech.edu, yucel@ece.gatech.edu

Abstract

The spread of cooperation in the evolutionary dynamics of social dilemma games such as Prisoner’s Dilemma can be facilitated by various means such as topological heterogeneities, a high benefit-to-cost ratio, or asymmetric interactions. In evolutionary dynamics, the agents adopt the strategies of neighbors with higher payoffs with a probability proportional to the payoff difference. In this study, we analyze evolutionary dynamics of mixed strategies in the Prisoner’s Dilemma game through the expected value of the payoff difference for arbitrary neighbors and the evolutionary advantage/disadvantage of nodes due to the degree distributions within their neighborhoods. Simulation results for various networks and game parameters are also presented.

Published
2012-10-08
http://dx.doi.org/10.1007/978-3-642-30373-9_14
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