Genetically programmed learning classifier system description and results

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

  author =       "Gregory Anthony Harrison and Eric W. Worden",
  title =        "Genetically programmed learning classifier system
                 description and results",
  booktitle =    "Genetic and Evolutionary Computation Conference
                 {(GECCO2007)} workshop program",
  year =         "2007",
  month =        "7-11 " # jul,
  editor =       "Tina Yu",
  isbn13 =       "978-1-59593-698-1",
  pages =        "2729--2736",
  address =      "London, United Kingdom",
  keywords =     "genetic algorithms, genetic programming, agent
                 learning, autonomous agent, bucket brigade,
                 evolutionary computation, genetics-based machine
                 learning (GBML), intelligent agent, learning classifier
                 system (LCS), reinforcement learning",
  URL =          "",
  DOI =          "doi:10.1145/1274000.1274068",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  abstract =     "An agent population can be evolved in a complex
                 environment to perform various tasks and optimise its
                 job performance using Learning Classifier System (LCS)
                 technology. Due to the complexity and knowledge content
                 of some real-world systems, having the ability to use
                 genetic programming, GP, to represent the LCS rules
                 provides a great benefit. Methods have been created to
                 extend LCS theory into operation across the power-set
                 of GP-enabled rule content. This system uses a full
                 bucketbrigade system for GP-LCS learning. Using GP in
                 the LCS system allows the functions and terminals of
                 the actual problem environment to be used internally
                 directly in the rule set, enabling more direct
                 interpretation of the operation of the LCS system. The
                 system was designed and built, and underwent
                 independent testing at an advanced technology research
                 laboratory. This paper describes the top-level
                 operation of the system, and includes some of the
                 results of the testing effort, and performance
  notes =        "Distributed on CD-ROM at GECCO-2007 ACM Order No.

Genetic Programming entries for Gregory Anthony Harrison Eric W Worden