Genetic programming to learn an agent's monitoring strategy

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "M. Atkin and P. R. Cohen",
  title =        "Genetic programming to learn an agent's monitoring
  booktitle =    "Proceedings of the AAAI-93 Workshop on Learning Action
  year =         "1993",
  editor =       "Wei-Min Shen",
  pages =        "36--41",
  publisher =    "AAAI Press",
  URL =          "",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming",
  size =         "6 pages",
  abstract =     "Many tasks require an agent to monitor its
                 environment, but little is known about appropriate
                 monitoring strategies to use in particular situations.
                 Our approach is to learn good monitoring strategies
                 with a genetic programming algorithm. To this end, we
                 have developed a simple agent programming language in
                 which we represent monitoring strategies as programs
                 that control a simulated robot, and a simulator in
                 which the programs can be evaluated. The effect of
                 different environments and tasks is determined
                 experimentally; changing features of the environment
                 will change which strategies are learnt. The
                 correspondence can then be analysed.",
  notes =        "Also available as \cite{Atkin:1993:GPLAMSa}?",

Genetic Programming entries for Marc S Atkin Paul R Cohen