Evolving Behavioral Strategies in Predators and Prey
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{Haynes:1996:EBS,
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author = "Thomas Haynes and Sandip Sen",
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title = "Evolving Behavioral Strategies in Predators and Prey",
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pages = "113--126",
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editor = "Gerhard Wei{\ss} and Sandip Sen",
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booktitle = "Adaptation and Learning in Multi--Agent Systems",
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year = "1996",
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publisher = "Springer Verlag",
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series = "Lecture Notes in Artificial Intelligence",
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address = "Berlin, Germany",
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keywords = "genetic algorithms, genetic programming",
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notes = "see also \cite{Hayes:1995:ebspp}",
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broken = "http://euler.mcs.utulsa.edu/~haynes/icjai95.ps",
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URL = "http://citeseer.ist.psu.edu/rd/13718071%2C21714%2C1%2C0.25%2CDownload/http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/734/http:zSzzSzwww.cs.twsu.eduzSz%7EhayneszSzicjai95.pdf/haynes96evolving.pdf",
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URL = "http://citeseer.ist.psu.edu/haynes96evolving.html",
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abstract = "The predator/prey domain is used to conduct research
in Distributed Artificial Intelligence. Genetic
Programing is used to evolve behavioral strategies for
the predator agents. To further the utility of the
predator strategies, the prey population is allowed to
evolve at the same time. The expected competitive
learning cycle did not surface. This failing is
investigated, and a simple prey algorithm surfaces,
which is consistently able to evade capture from the
predator algorithms.",
- }
Genetic Programming entries for
Thomas D Haynes
Sandip Sen
Citations