Evolutionary learning of communicating agents

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 o...

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Bibliographic Details
Published in:Information sciences 1998-07, Vol.108 (1), p.181-205
Main Author: Iba, Hitoshi
Format: Article
Language:English
Subjects:
Distributed artificial intelligence
Genetic programming
Multi-agent system
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Summary: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.
ISSN:0020-0255
1872-6291
DOI:10.1016/S0020-0255(97)10055-X