How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours

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

@InProceedings{lim:1999:HNBBEGHB,
  author =       "Ik Soo Lim and Daniel Thalmann",
  title =        "How Not to Be a Black-Box: Evolution and
                 Genetic-Engineering of High-Level Behaviours",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "2",
  pages =        "1329--1335",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, artificial
                 life, adaptive behavior and agents",
  ISBN =         "1-55860-611-4",
  URL =          "http://ligwww.epfl.ch/~thalmann/papers.dir/GECCO99.pdf",
  URL =          "http://citeseer.ist.psu.edu/242132.html",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/AA-001.ps",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/AA-001.pdf",
  abstract =     "In spite of many success stories in various domains,
                 Genetic Algorithm and Genetic Programming still suffer
                 from some significant pitfalls. Those evolved programs
                 often lack of some important properties such as
                 robustness, comprehensibility, transparency,
                 modifiability and usability of domain knowledge easily
                 available. We attempt to resolve these problems, at
                 least in evolving high-level behaviours, by adopting a
                 technique of conditions-and-behaviours originally used
                 for minimizing the learning space in reinforcement
                 learning. We experimentally validate the approach on a
                 foraging task.",
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference
                 (GP-99).

                 computer animations, foraging task, non-transparency",
}

Genetic Programming entries for Ik Soo Lim Daniel Thalmann

Citations