DocumentCode
444006
Title
Tasks-based MAS model on the granular computing framework
Author
Xiao-Ping, Ye ; Zhi-Feng, Lai ; Lin, Ye ; Qi-Chao, Shen
Author_Institution
Dept. of Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
Volume
1
fYear
2005
fDate
25-27 July 2005
Firstpage
330
Abstract
Granularity theory is a new soft computing tool, which can deal with vagueness and uncertainty efficiently. In this paper, we introduce the MAS model based on the cooperative tasks on the granular analysis and computing framework. We discuss the necessity of agent in MAS and the minimum reduction based on the given tasks, and then put forward the criterion to classify them. Also, we propose the notion of significant and cooperative degree of MAS, and conclude the matching algorithm with respect to the cooperative tasks.
Keywords
groupware; multi-agent systems; uncertainty handling; MAS model; cooperative task; granular computing; granularity theory; matching algorithm; multiagent system; soft computing tool; uncertainty handling; Collaborative work; Computational modeling; Humans; Intelligent agent; Optical wavelength conversion; Set theory; Software; Sun; Uncertainty; granular computing; matching in cooperative tasks; tasks-based MAS model;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547297
Filename
1547297
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