Social Learning in Population-Based Adaptive Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Haasdijk:2008:cec,
  author =       "E. Haasdijk and P. Vogt and A. E. Eiben",
  title =        "Social Learning in Population-Based Adaptive Systems",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "1386--1392",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0363.pdf",
  DOI =          "doi:10.1109/CEC.2008.4630975",
  abstract =     "The subject of the present investigation is
                 Population-based Adaptive Systems (PAS), as implemented
                 in the NEW TIES platform. In many existing PASs two
                 adaptation mechanisms are combined, (non-Lamarckian)
                 evolution and individual learning, inevitably raising
                 the issue of `forgetful populations': individually
                 learnt knowledge disappears when the individual that
                 learnt it dies. We propose social learning by explicit
                 knowledge transfer to overcome this problem. Our
                 mechanism is based on (1) direct communication among
                 agents in the population, (2) messages carrying rules
                 that the sender agent uses in its controller, and (3)
                 the ability of the recipient agent to incorporate
                 foreign rules into its controller. Thus, knowledge can
                 be disseminated and multiplied within the same
                 generation, making the population a knowledge reservoir
                 for individually acquired knowledge. We present an
                 initial assessment of this idea and show that this
                 social mechanism is capable of efficiently distributing
                 knowledge and improving the performance of the
                 population.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

Genetic Programming entries for Evert Haasdijk Paul A Vogt Gusz Eiben

Citations