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
Link To Document :
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