Evolving Behavioral Strategies in Predators and Prey

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

  author =       "Thomas Haynes and Sandip Sen",
  title =        "Evolving Behavioral Strategies in Predators and Prey",
  booktitle =    "IJCAI-95 Workshop on Adaptation and Learning in
                 Multiagent Systems",
  year =         "1995",
  editor =       "Sandip Sen",
  pages =        "32--37",
  address =      "Montreal, Quebec, Canada",
  publisher_address = "San Francisco, CA, USA",
  month =        "20-25 " # aug,
  organisation = "IJCAII,AAAI,CSCSI",
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, cooperation
  broken =       "http://euler.mcs.utulsa.edu/~haynes/icjai95.ps",
  URL =          "http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/734/http:zSzzSzwww.cs.twsu.eduzSz~hayneszSzicjai95.pdf/haynes96evolving.pdf",
  URL =          "http://citeseer.ist.psu.edu/haynes96evolving.html",
  abstract =     "The predator/prey domain is used to conduct research
                 in Distributed Artificial Intelligence. Genetic
                 Programing is used to evolve behavioral strategies for
                 the predator agents. To further the utility of the
                 predator strategies, the prey population is allowed to
                 evolve at the same time. The expected competitive
                 learning cycle did not surface. This failing is
                 investigated, and a simple prey algorithm surfaces,
                 which is consistently able to evade capture from the
                 predator algorithms.",
  notes =        "see also \cite{Haynes:1996:EBS}


Genetic Programming entries for Thomas D Haynes Sandip Sen