Evolving Communicating Agents based on Genetic Programming

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

@InProceedings{iba:1997:eca,

• author = "Hitoshi Iba and Tishihide Nozoe and Kanji Ueda",
• title = "Evolving Communicating Agents based on Genetic Programming",
• booktitle = "Proceedings of the 1997 {IEEE} International Conference on Evolutionary Computation",
• year = "1997",
• pages = "297--302",
• address = "Indianapolis, IN, USA",
• publisher_address = "Piscataway, NJ, USA",
• month = "13-16 " # apr,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, Artificial intelligence, Cloning, Intelligent agent, Laboratories, Learning, Multiagent systems, Robot kinematics, Robustness, Testing, cooperative systems, digital simulation, games of skill, intelligent control, learning (artificial intelligence), linear programming, software agents, GP based multi agent learning, co-evolutionary breeding strategy, communicating agents, comparative experiments, cooperative behaviour, evolving communicating agents, multi agent test bed, pursuit game, simulated environment, simulated robot agents",
• ISBN = "0-7803-3949-5",
• DOI = "doi:10.1109/ICEC.1997.592321",
• size = "6 pages",
• abstract = "The paper presents the emergence of the cooperative behavior for communicating agents by means of genetic programming (GP). Our experimental domain is the pursuit game, a multi agent test bed. The world consists of simulated robot agents and a simulated environment which is both dynamic and unpredictable. For the purpose of evolving the cooperative behavior, we use the co-evolutionary breeding strategy. We confirm the emergence of cooperation via communication. The effectiveness of GP based multi agent learning is discussed with comparative experiments",
• notes = "ICEC-97",

}

Genetic Programming entries for Hitoshi Iba Tishihide Nozoe Kanji Ueda

Citations