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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