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Cooperation in networked populations of selfish adaptive agents: Sensitivity to network structure

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  • Gulyás, László

Abstract

This paper investigates the adaptation of cooperating strategies in an iterated prisoner's dilemma (IPD) game with individually learning agents, subject to the structure of the interaction network. In particular, we study how cooperation or defection comes to dominate the population on Watts–Strogatz networks, under varying average path lengths. Our results are in good agreement with previous works on discrete choice dynamics on networks, but are in stark contrast with results from the evolution of cooperation literature. We argue that the latter is because the different adaptation method used (i.e., adaptive learning instead of ‘evolutionary’ strategy switching).

Suggested Citation

  • Gulyás, László, 2007. "Cooperation in networked populations of selfish adaptive agents: Sensitivity to network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 110-117.
  • Handle: RePEc:eee:phsmap:v:378:y:2007:i:1:p:110-117
    DOI: 10.1016/j.physa.2006.11.063
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    References listed on IDEAS

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    1. Frank Schweitzer & Robert Mach & Heinz Mühlenbein, 2005. "Agents with Heterogeneous Strategies Interacting in a Spatial IPD," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 87-102, Springer.
    2. Michael D. Cohen & Rick L. Riolo & Robert Axelrod, 2001. "The Role Of Social Structure In The Maintenance Of Cooperative Regimes," Rationality and Society, , vol. 13(1), pages 5-32, February.
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