- author = "Thomas Haynes and Sandip Sen",
- title = "Evolving Behavioral Strategies in Predators and Prey",
- booktitle = "Adaptation and Learning in Multiagent Systems",
- publisher = "Springer Verlag",
- year = "1995",
- editor = "Gerhard Wei{\ss} and Sandip Sen",
- volume = "1042",
- series = "Lecture Notes in Artificial Intelligence",
- pages = "113--126",
- address = "Berlin, Germany",
- keywords = "genetic algorithms, genetic programming, STGP",
- isbn13 = "978-3-540-60923-0",
-
DOI = "
doi:10.1007/3-540-60923-7_22",
- abstract = "The predator/prey domain is used to conduct research in Distributed Artificial Intelligence. Genetic Programming is used to evolve behavioural 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.",
- size = "14 pages",
-
notes = "Published in 1996?
",
- affiliation = "The University of Tulsa Department of Mathematical & Computer Sciences USA USA",
