Presentation 1997/1/22
Cooperative Problem Solving with Multi-agent System
REN Bao Lin, Fumiaki IMANARI, Hitoshi OGAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) There exists problems which is difficult to be solved with single agent system, but be efficiently solved with multi-agent system. In this paper, we have poposed the multi-agent model which is adapted to distributed planning search problem. We have showed that hierarchical agent structure decreases communication cost among agents, and leads to the efficient planning for the load transportation problem. We have also proposed the modifying method of plans when it become impossible to execute already generated plans by changes of circumstances.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) multi-agent / cooperative problem solving / distributed planning / negotiation / modification
Paper # AI96-42
Date of Issue

Conference Information
Committee AI
Conference Date 1997/1/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
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) Cooperative Problem Solving with Multi-agent System
Sub Title (in English)
Keyword(1) multi-agent
Keyword(2) cooperative problem solving
Keyword(3) distributed planning
Keyword(4) negotiation
Keyword(5) modification
1st Author's Name REN Bao Lin
1st Author's Affiliation Dept. of Computer Science Faculty Science and Engineering Ritsumeikan University()
2nd Author's Name Fumiaki IMANARI
2nd Author's Affiliation Dept. of Computer Science Faculty Science and Engineering Ritsumeikan University
3rd Author's Name Hitoshi OGAWA
3rd Author's Affiliation Dept. of Computer Science Faculty Science and Engineering Ritsumeikan University
Date 1997/1/22
Paper # AI96-42
Volume (vol) vol.96
Number (no) 453
Page pp.pp.-
#Pages 8
Date of Issue