Evolving Behavioral Strategies in Predators and Prey

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InCollection{Haynes:1996:EBS,

• author = "Thomas Haynes and Sandip Sen",
• title = "Evolving Behavioral Strategies in Predators and Prey",
• pages = "113--126",
• editor = "Gerhard Wei{\ss} and Sandip Sen",
• booktitle = "Adaptation and Learning in Multi--Agent Systems",
• year = "1996",
• publisher = "Springer Verlag",
• series = "Lecture Notes in Artificial Intelligence",
• address = "Berlin, Germany",
• keywords = "genetic algorithms, genetic programming",
• notes = "see also \cite{Hayes:1995:ebspp}",
• broken = "http://euler.mcs.utulsa.edu/~haynes/icjai95.ps",
• 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",
• URL = "http://citeseer.ist.psu.edu/haynes96evolving.html",
• 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