Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments

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@InProceedings{DBLP:conf/ecal/RobinsonEC07,
  author =       "Edward Robinson and Timothy Ellis and 
                 Alastair Channon",
  title =        "Neuroevolution of Agents Capable of Reactive and
                 Deliberative Behaviours in Novel and Dynamic
                 Environments",
  booktitle =    "Advances in Artificial Life, 9th European Conference,
                 ECAL 2007",
  year =         "2007",
  pages =        "345--354",
  editor =       "Fernando Almeida e Costa and Luis Mateus Rocha and 
                 Ernesto Costa and Inman Harvey and 
                 Ant{\'o}nio Coutinho",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4648",
  isbn13 =       "978-3-540-74912-7",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  address =      "Lisbon, Portugal",
  month =        sep # " 10-14",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.channon.net/alastair/papers/ecal2007.pdf",
  URL =          "http://epapers.bham.ac.uk/32/",
  DOI =          "doi:10.1007/978-3-540-74913-4_35",
  abstract =     "This paper presents evolved artificial neural
                 controllers that solve tasks requiring deliberative
                 behaviours: tasks that cannot be solved by reactive
                 mechanisms alone and which would traditionally have
                 their solutions formulated in terms of search-based
                 planning. Two very different neural networks are used:
                 one that controls high-level deliberative behaviours,
                 such as the selection of sub-goals, and one that
                 provides reactive and navigational capabilities.
                 Animats controlled by a hybrid of these network
                 architectures are evolved in novel and dynamic
                 environments, on increasingly complex versions of an
                 example problem. The results demonstrate, for the first
                 time ever, incremental neuro-evolutionary learning on
                 such tasks.",
}

Genetic Programming entries for Edward Robinson Timothy Ellis Alastair D Channon

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