Genetic Encoding of Agent Behavioral Strategy

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{oai:CiteSeerPSU:185735,

• author = "Stephane Calderoni and Pierre Marcenac and Remy Courdier",
• title = "Genetic Encoding of Agent Behavioral Strategy",
• booktitle = "Proceedings of the 3rd International Conference on Multi Agent Systems",
• year = "1998",
• pages = "403",
• publisher = "IEEE Computer Society",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-8186-8500-X",
• URL = "http://portal.acm.org/citation.cfm?id=852213&jmp=cit&dl=portal&dl=ACM",
• URL = "http://citeseer.ist.psu.edu/cache/papers/cs/4918/http:zSzzSzwww.univ-reunion.frzSz~caldezSzrechzSzpublicationszSzpaperszSzicmas98a.pdf/genetic-encoding-of-agent.pdf",
• URL = "http://citeseer.ist.psu.edu/185735.html",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:185735",
• rights = "unrestricted",
• size = "2 pages",
• abstract = "The general framework tackled in this paper is the automatic generation of intelligent collective behaviors using genetic programming and reinforcement learning. We define a behavior-based system relying on automatic design process using artificial evolution to synthesize high level behaviors for autonomous agents. Behavioral strategies are described by tree-based structures, and manipulated by genetic evolving processes. Each strategy is dynamically evaluated during simulation, and is weighted by an adaptation function as a quality factor that reflects its relevance as good solution for the learning task. It is computed using heterogeneous reinforcement techniques associating immediate reinforcements and delayed reinforcements as dynamic progress estimators.",

}

Genetic Programming entries for Stephane Calderoni Pierre Marcenac Remy Courdier

Citations