Evolving Cooperating Strategies
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Hayes:1995:ecsICMAS,
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author = "Thomas D. Haynes and Roger L. Wainwright and
Sandip Sen",
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title = "Evolving Cooperating Strategies",
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booktitle = "Proceedings of the first International Conference on
Multiple Agent Systems",
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year = "1995",
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editor = "Victor Lesser",
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pages = "450",
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address = "San Francisco, USA",
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month = "12--14 " # jun,
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publisher = "AAAI Press/MIT Press",
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note = "Poster",
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keywords = "genetic algorithms, genetic programming, evolutionary
computation, cooperation strategies, poster",
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ISBN = "0-262-62102-9",
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URL = "http://www.mcs.utulsa.edu/~rogerw/papers/Haynes-icmas95.pdf",
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size = "1 page",
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abstract = "The identification, design, and implementation of
strategies for cooperation is a central research issue
in the field of Distributed Artificial Intelligence
(DAI). We propose a novel approach to the construction
of cooperation strategies for a group of problem
solvers based on the Genetic Programming (GP) paradigm.
GP's are a class of adaptive algorithms used to evolve
solution structures that optimize a given evaluation
criterion. Our approach is based on designing a
representation for cooperation strategies that can be
manipulated by GPs. We present results from experiments
in the predator-prey domain, which has been extensively
studied as an easy-to-describe but difficult-to-solve
cooperation problem domain. They key aspect of our
approach is the minimal reliance on domain knowledge
and human intervention in the construction of good
cooperation strategies. Promising comparison results
with prior systems lend credence to the viability of
this approach.",
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notes = "13 page version available via url
",
- }
Genetic Programming entries for
Thomas D Haynes
Roger L Wainwright
Sandip Sen
Citations