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基于任务的多Agent系统Rough集模型
引用本文:叶小平,沈启超,叶昌伟,张国斌,吴凌坤.基于任务的多Agent系统Rough集模型[J].世界科技研究与发展,2005,27(4):34-38.
作者姓名:叶小平  沈启超  叶昌伟  张国斌  吴凌坤
作者单位:中山大学计算机科学系,广州,510275
摘    要:本文在Rough集框架内建立基于任务的多Agent系统(MAS)形式模型,讨论了任务求解的条件和任务的协同度。在求解基于任务极小MAS的基础上,对Agent进行了基本分类,为Agent的角色划定和责任分配提供依据,同时研究了成员Agent的重要度。

关 键 词:MAS协同任务模型  Rough集  Agent分类和角色划定  多Agent系统(MAS)  形式模型  重要度  求解

Rough Set Model of MAS Based on Task
Ye Xiaoping,SHEN Qichao,YE Changwei,Zhang Guobin,WU Lingkun.Rough Set Model of MAS Based on Task[J].World Sci-tech R & D,2005,27(4):34-38.
Authors:Ye Xiaoping  SHEN Qichao  YE Changwei  Zhang Guobin  WU Lingkun
Abstract:This paper establishes a model for multi-agent system (MAS) based on tasks in the frame of Rough Set theory, and discusses the prerequisites for problem solving and the so-called 'cooperative degree' of a task. Then it gives the classification of agents ground on the reduction of minimal MAS according to specified tasks, which provides a clue to the division of roles and distribution of responsibilities. Meanwhile it investigates the importance of each member agent.
Keywords:MAS cooperative model  rough set  setup of agents and roles
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