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基于复杂性科学基本概念的MAS涌现性量化研究
引用本文:金士尧,黄红兵,任传俊.基于复杂性科学基本概念的MAS涌现性量化研究[J].计算机学报,2009,32(1).
作者姓名:金士尧  黄红兵  任传俊
作者单位:1. 国防科学技术大学并行与分布处理国家重点实验室,长沙,410073
2. 国防科学技术大学计算机学院,长沙,410073
摘    要:在MAS(Multi-Agent System)领域,面向涌现的MAS研究将MAS看成一类特殊的复杂系统,其关注点是MAS宏观层面的涌现性问题.这类研究需要借用复杂性科学研究中的一些基本概念描述、阐述MAS涌现性研究中的问题.文中着重对几个常用的基本概念及其量化研究做一概览,以深化对它们的认识,并结合这些概念及其量化研究在MAS涌现性研究中的应用特点,阐明它们对面向涌现的MAS研究的作用,以促进进一步的研究.这些概念包括复杂性、混沌边缘、自组织、涌现、适应和进化等.

关 键 词:多Agent系统  涌现  复杂性  混沌边缘  自组织  适应

Emergence-Oriented Research on MAS with Quantifications Based on the Notions in Science of Complexity
JIN Shi-Yao,HUANG Hong-Bing,REN Chuan-Jun.Emergence-Oriented Research on MAS with Quantifications Based on the Notions in Science of Complexity[J].Chinese Journal of Computers,2009,32(1).
Authors:JIN Shi-Yao  HUANG Hong-Bing  REN Chuan-Jun
Affiliation:National Laboratory for Parallel and Distributed Processing;National University of Defense Technology;Changsha 410073;School of Computer Science;Changsha 410073
Abstract:In the area of MASs,emergence-oriented researches regard MASs as particular complex systems and focus on the emergent characteristics of MASs on the macro level.In order to characterize MASs or specify some issues in MASs at macro level,several notions in the science of complexity should be used in these researches.This paper firstly gives an overview of these several notions and their quantifications,trying to catch a deeper understanding of them.Then,with some applications of these notions and their quant...
Keywords:multi-agent system  emergence  complexity  edge-of-chaos  self-organization  adaptation  
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