Emergent Cooperation for Multiple Agents Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{iba:1996:ecmaPPSN,

• author = "Hitoshi Iba",
• title = "Emergent Cooperation for Multiple Agents Using Genetic Programming",
• booktitle = "Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation",
• year = "1996",
• editor = "Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel",
• series = "LNCS",
• volume = "1141",
• pages = "32--41",
• address = "Berlin, Germany",
• publisher_address = "Heidelberg, Germany",
• month = "22-26 " # sep,
• publisher = "Springer Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-61723-X",
• DOI = "doi:10.1007/3-540-61723-X_967",
• size = "10 pages",
• abstract = "This paper presents the emergence of the cooperative behaviour for the multiple agents by means of Genetic Programming (GP). Our experimental domain is the Tile World, a multi-agent test bed [Pollack90]. The world consists of a simulated robot agent and a simulated environment which is both dynamic and unpredictable. For the purpose of evolving the cooperative behavior, we propose three types of strategies, i.e, homogeneous breeding, heterogeneous breeding, and co-evolutionary breeding. The effectiveness of these three types of GP-based multi-agent learning is discussed with comparative experiments.",
• notes = "http://lautaro.fb10.tu-berlin.de/ppsniv.html PPSN4 Comparison of homogeneous, heterogeneous and co-evolutionary breeding on 'Tile world' simulated environment problem.",
• affiliation = "Electrotechnical Laboratory (ETL) Machine Inference Section 1-1-4 Umezono, Tsukuba Science City 305 Ibaraki Japan 1-1-4 Umezono, Tsukuba Science City 305 Ibaraki Japan",

}

Genetic Programming entries for Hitoshi Iba

Citations