Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{Uchibe98f,
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author = "Eiji Uchibe and Masateru Nakamura and Minoru Asada",
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title = "Cooperative Behavior Acquisition in a Multiple Mobile
Robot Environment by Co-evolution",
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booktitle = "RoboCup-98: Robot Soccer World Cup II",
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year = "1998",
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editor = "Minoru Asada and Hiroaki Kitano",
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volume = "1604",
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series = "Lecture Notes in Computer Science",
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pages = "273--285",
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address = "Paris",
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month = "2-3 " # jul,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "0302-9743",
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ISBN = "3-540-66320-7",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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DOI = "doi:10.1007/3-540-48422-1_22",
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URL = "http://www.er.ams.eng.osaka-u.ac.jp/Paper/1998/Uchibe98f.pdf",
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size = "14 pages",
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abstract = "Coevolution has recently been receiving increased
attention as a method for multi agent simultaneous
learning. This paper discusses how multiple robots can
emerge cooperative behaviours through co-evolutionary
processes. As an example task, a simplified soccer game
with three learning robots is selected and a GP
(genetic programming) method is applied to individual
population corresponding to each robot so as to obtain
cooperative and competitive behaviors through
evolutionary processes. The complexity of the problem
can be explained twofold: co-evolution for cooperative
behaviours needs exact synchronisation of mutual
evolutions, and three robot coevolution requires
well-complicated environment setups that may gradually
change from simpler to more complicated situations so
that they can obtain cooperative and competitive
behaviors simultaneously in a wide range of search area
in various kinds of aspects. Simulation results are
shown, and a discussion is given.",
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notes = "http://www.robocup.org/games/98paris/31232.html",
- }
Genetic Programming entries for
Eiji Uchibe
Masateru Nakamura
Minoru Asada
Citations