Evolutionary learning of communicating agents

author = "Hitoshi Iba",

title = "Evolutionary learning of communicating agents",

journal = "Information Sciences",

year = "1998",

volume = "108",

number = "1-4",

pages = "181--205",

month = jul,

keywords = "genetic algorithms, genetic programming, Multi-agent system, Distributed artificial intelligence",

ISSN = "0020-0255",

DOI = "

doi:10.1016/S0020-0255(97)10055-X",

URL = "

http://www.sciencedirect.com/science/article/B6V0C-3TKS65B-F/2/ecac160ea272b4818c97d3aab09527d4",

abstract = "This paper presents the emergence of the cooperative behavior for communicating agents by means of Genetic Programming (GP). Our experimental domains are the pursuit game and the robot navigation task. We conduct experiments with the evolution of the communicating agents and show the effectiveness of the emergent communication in terms of the robustness of generated GP programs. The performance of GP-based multi-agent learning is discussed with comparative experiments by using different breeding strategies, i.e., homogenous breeding and heterogeneous breeding.",

notes = "Information Sciences http://www.elsevier.com/inca/publications/store/5/0/5/7/3/0/505730.pub.htt",