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[Nov 6, 2009 | Comments Off | Posted by Community ]

The fourth issue of volume 10 of Genetic Programming and Evolvable Machines is now available online. This is the first part of the two-part Special Issue on Parallel and Distributed Evolutionary Algorithms, and it contains the following articles:

Introduction: special issue on parallel and distributed evolutionary algorithms, part I
by Marco Tomassini & Leonardo Vanneschi
Distributed differential evolution with explorative–exploitative population families
by Matthieu Weber, Ferrante Neri & Ville Tirronen
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization
by V. G. Asouti, I. C. Kampolis & K. C. Giannakoglou
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework
by Asim Munawar, Mohamed Wahib, Masaharu Munetomo & Kiyoshi Akama
Parallel evolution using multi-chromosome cartesian genetic programming
by James Alfred Walker, Katharina Völk, Stephen L. Smith & Julian Francis Miller
Genetic programming on graphics processing units
by Denis Robilliard, Virginie Marion-Poty & Cyril Fonlupt
Book Review: Natalio Krasnogor, Steve Gustafson, David A. Pelta, and Jose L. Verdegay (eds): Systems self-assembly: multidisciplinary snapshots
by Navneet Bhalla

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[Nov 6, 2009 | Comments Off | Posted by Community ]

Abstract  Understanding how cooperative behavior emerges within a population of autonomous individuals has been the focus of a great
deal of research in biology, economics and more recently in the multi-agent systems domain. However, there are still many
open questions. In this paper, we address some of these questions by investigating the effects of time-varying, non-symmetric
rewards on the evolution of cooperation in the spatial Prisoner’s dilemma game. The rationale behind this approach is based
on the notion that the associated payoffs from pursuing certain strategies do vary among members of real-world populations.
In our model, agents with limited cognitive capacity play the game with their local neighbours. In addition to its game playing
strategy, each agent has additional attributes that can be used to control the number of rounds of the game the agent actually
participates in, as well as the magnitude of any rewards that it receives. Numerical simulations show that dynamic updates
to payoff values induce a change in equilibrium cooperation levels. This suggests that heterogeneous payoff values and social
diversity within a cost-benefit context are important factors in the promotion of cooperation in the spatial Prisoner’s dilemma
game.

  • Content Type Journal Article
  • Category Special Issue
  • DOI 10.1007/s12065-009-0032-1
  • Authors
    • Golriz Rezaei, The University of Melbourne Department of Computer Science and Software Engineering Melbourne VIC Australia
    • Michael Kirley, The University of Melbourne Department of Computer Science and Software Engineering Melbourne VIC Australia