Evolving Cooperation Strategies

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Thomas Haynes and Roger Wainwright and Sandip Sen",
  title =        "Evolving Cooperation Strategies",
  institution =  "The University of Tulsa",
  year =         "1994",
  type =         "Technical Report",
  number =       "UTULSA-MCS-94-10",
  address =      "Tulsa, OK, USA",
  month =        "16 " # dec,
  keywords =     "genetic algorithms, genetic programming, ccoperation
  URL =          "http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-icmas95.pdf",
  abstract =     "The identification, design, and implementation of
                 strategies for cooperation is a central research issue
                 in the field of Distributed Artificial Intelligence
                 (DAI). We propose a novel approach to the construction
                 of cooperation strategies for a group of problem
                 solvers based on the Genetic Programming (GP) paradigm.
                 GP's are a class of adaptive algorithms used to evolve
                 solution structures that optimize a given evaluation
                 criterion. Our approach is based on designing a
                 representation for cooperation strategies that can be
                 manipulated by GPs. We present results from experiments
                 in the predator-prey domain, which has been extensively
                 studied as an easy-to-describe but difficult-to-solve
                 cooperation problem domain. They key aspect of our
                 approach is the minimal reliance on domain knowledge
                 and human intervention in the construction of good
                 cooperation strategies. Promising comparison results
                 with prior systems lend credence to the viability of
                 this approach.",
  size =         "9 pages",
  notes =        "


Genetic Programming entries for Thomas D Haynes Roger L Wainwright Sandip Sen