Analysing Co-evolution Among Artificial 3D Creatures

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/ae/MiconiC05,

• author = "Thomas Miconi and Alastair Channon",
• title = "Analysing Co-evolution Among Artificial {3D} Creatures",
• 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, http://dblp.uni-trier.de",
• address = "Lille, France",
• month = oct # " 26-28",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.channon.net/alastair/papers/ea05.pdf",
• 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

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