Title :
Evolving communicating agents based on genetic programming
Author :
Iba, Hitoshi ; Nozoe, Toshihide ; Ueda, Kanji
Author_Institution :
Electrotech. Lab., Ibaraki, Japan
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
Keywords :
cooperative systems; digital simulation; games of skill; genetic algorithms; intelligent control; learning (artificial intelligence); linear programming; software agents; GP based multi agent learning; co-evolutionary breeding strategy; communicating agents; comparative experiments; cooperative behavior; evolving communicating agents; genetic programming; multi agent test bed; pursuit game; simulated environment; simulated robot agents; Artificial intelligence; Cloning; Genetic programming; Intelligent agent; Laboratories; Learning; Multiagent systems; Robot kinematics; Robustness; Testing;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592321
