Analysing Co-evolution Among Artificial 3D Creatures

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Thomas Miconi and Alastair Channon",
  title =        "Analysing Co-evolution Among Artificial {3D}
  booktitle =    "7th International Conference and Evolution
                 Artificielle, EA 2005",
  year =         "2005",
  pages =        "167--178",
  editor =       "El-Ghazali Talbi and Pierre Liardet and 
                 Pierre Collet and Evelyne Lutton and Marc Schoenauer",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3871",
  ISBN =         "3-540-33589-7",
  bibsource =    "DBLP,",
  address =      "Lille, France",
  month =        oct # " 26-28",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  DOI =          "doi:10.1007/11740698_15",
  abstract =     "This paper presents new accomplishments in the
                 coevolution of neurally controlled agents, and
                 introduces improved methods of coevolutionary analysis.
                 The experiments reported, on the coevolution of
                 physically simulated articulated creatures, are the
                 first to demonstrate realistic co-adapted behaviours
                 using general purpose neurons. The previous need for ad
                 hoc (problem-specific) neurons was a barrier to the
                 long-term evolution of new, emergent behaviours. Novel
                 behaviours are identified using an improved
                 coevolutionary analysis method that is both more
                 informative and an order of magnitude cheaper than the
                 original. Finally, individuals are cross-validated
                 between evolutionary runs, in an improved procedure for
                 evaluating global performance.",
  notes =        "Published 2006",

Genetic Programming entries for Thomas Miconi Alastair D Channon