Presentation 1998/9/24
Automatic acquisition of the optimal team structure for multi-agent cooperation
Akira HARA, Tomoharu NAGAO,
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Abstract(in English) In producing a multi-agent team which solves the problem cooperatively by means of Genetic Programming(GP), it seems that a heterogeneous team in which each agent has a distinct program performs better than a homogeneous team in which every agent has an identical program. In a heterogeneous team, however, as the number of agents increases, the size of the search space becomes vaster and the efficiency of search decreases. One of the solutions of this problem is to divide a team into the proper number of groups, and to provide the same program for the whole agents belonging to the same group. But it is difficult to know the adequate team structure beforehand. In this report, we propose a method to acquire the optimal team structure automatically in the process of evolution by means of GP.
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Keyword(in English) genetic programming / multi-agent / cooperation
Paper # AI98-36
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Committee AI
Conference Date 1998/9/24(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic acquisition of the optimal team structure for multi-agent cooperation
Sub Title (in English)
Keyword(1) genetic programming
Keyword(2) multi-agent
Keyword(3) cooperation
1st Author's Name Akira HARA
1st Author's Affiliation Imaging Science and Engineering Laboratory, Tokyo Institute of Technology()
2nd Author's Name Tomoharu NAGAO
2nd Author's Affiliation Imaging Science and Engineering Laboratory, Tokyo Institute of Technology
Date 1998/9/24
Paper # AI98-36
Volume (vol) vol.98
Number (no) 296
Page pp.pp.-
#Pages 8
Date of Issue