Augmenting Collective Adaptation with Simple Process Agents

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Haynes:1997:aaaiMAL,
  author =       "Thomas Haynes",
  title =        "Augmenting Collective Adaptation with Simple Process
                 Agents",
  booktitle =    "Papers from the AAAI Workshop on Multiagent Learning",
  year =         "1997",
  editor =       "Sandip Sen",
  pages =        "41--46",
  organisation = "AAAI",
  note =         "Published in AAAI Technical Report WS-97-03",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.aaai.org/Papers/Workshops/1997/WS-97-03/WS97-03-008.pdf",
  size =         "6 pages",
  abstract =     "We have integrated the distributed search of genetic
                 programming based systems with collective memory to
                 form a collective adaptation search method. Such a
                 system significantly improves search as problem
                 complexity is increased. However, there is still
                 considerable scope for improvement. In collective
                 adaptation, search agents gather knowledge of their
                 environment and deposit it in a central information
                 repository. Process agents are then able to manipulate
                 that focused knowledge, exploiting the exploration of
                 the search agents. We examine the utility of increasing
                 the capabilities of the centralised process agents.",
  notes =        "http://www.aaai.org/Library/Workshops/ws97-03.php",
}

Genetic Programming entries for Thomas D Haynes

Citations