- author = "Thomas Haynes and Sandip Sen",
- title = "Evolving Behavioral Strategies in Predators and Prey",
- booktitle = "IJCAI-95 Workshop on Adaptation and Learning in Multiagent Systems",
- year = "1995",
- editor = "Sandip Sen",
- pages = "32--37",
- address = "Montreal, Quebec, Canada",
- publisher_address = "San Francisco, CA, USA",
- month = "20-25 " # aug,
- organisation = "IJCAII,AAAI,CSCSI",
- publisher = "Morgan Kaufmann",
- keywords = "genetic algorithms, genetic programming, cooperation strategies",
- broken = "http://euler.mcs.utulsa.edu/~haynes/icjai95.ps",
-
URL = "
http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/734/http:zSzzSzwww.cs.twsu.eduzSz~hayneszSzicjai95.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.",
-
notes = "see also \cite{Haynes:1996:EBS}
",
