A Simulation of Adaptive Agents in a Hostile Environment

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

  author =       "Thomas D. Haynes",
  title =        "A Simulation of Adaptive Agents in a Hostile
  school =       "University of Tulsa",
  year =         "1994",
  address =      "Tulsa, OK, USA",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming",
  broken =       "http://euler.mcs.utulsa.edu/~haynes/masters.ps",
  URL =          "http://citeseer.ist.psu.edu/2240.html",
  size =         "254 pages",
  abstract =     "The Genetic Programming Algorithm is used to construct
                 an Autonomous Agent capable of learning how to survive
                 a hostile environment. Randomly generated programs,
                 which control the interaction of the Agent with its
                 environment, are recombined to form better programs.
                 Each generation of the population of Agents is placed
                 into the Simulator with the ultimate goal of producing
                 an Agent capable of surviving any environment. The
                 Simulator determines the raw fitness of each Agent by
                 interpreting the associated program. General programs
                 are evolved to solve this problem. Different
                 environmental setups are presented to show the
                 generality of the solution. Certain constructs always
                 appear to facilitate the solution of subproblems of the
                 task. This is evidenced in similar responses of the
                 Average Fitness per Generation curves for the different
  notes =        "


Genetic Programming entries for Thomas D Haynes