DocumentCode
1816698
Title
An action control model of agents based on evaluation of group behaviors
Author
Masunaga, Shinya ; Nagao, Tomoharu
Author_Institution
Imaging Sci. & Eng. Lab., Tokyo Inst. of Technol., Japan
Volume
4
fYear
1997
fDate
12-15 Oct 1997
Firstpage
3343
Abstract
In the research field of multi-agents, evaluation of agents as a group is more important than that as each one to realize their interesting and complicated behaviors. This paper describes a method to evaluate performances of agents using a criteria as a group and a new model of genetic algorithm (GA). In our modified GA, the structures of the current good behaviors of the agents are effectively inherited to the next generation. Effectiveness of our method for generating movements of agents are demonstrated with an experimental result
Keywords
genetic algorithms; neural nets; action control model; agents; genetic algorithm; group behaviors; performance evaluation; Biological cells; Equations; Evolutionary computation; Feature extraction; Genetic algorithms; Genetic programming; Laboratories; Learning automata; Optimization methods; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.633156
Filename
633156
Link To Document