| 多Agent系统分布式问题求解的代数模型方法(Ⅱ): 群体智能和社会动力学 |
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| 引用本文： | 帅典勋,顾静. 多Agent系统分布式问题求解的代数模型方法(Ⅱ): 群体智能和社会动力学[J]. 计算机学报, 2002, 25(2): 138-147 |
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| 作者姓名： | 帅典勋 顾静 |
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| 作者单位： | 1. 东理工大学计算机科学与工程系,上海,200237,清华大学智能技术与系统国家重点实验室,北京,100080
2. 朗讯科技,中国,有限公司,上海,200230 |
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| 基金项目： | 国家自然科学基金重点项目 (60 13 5 0 10 )，国家“九七三”重点基础研究发展规划项目(G19990 3 2 70 7)，国家自然科学基金项目 (60 0 73 0 0 8)，清华大学智能技术和系统国家重点实验室开放课题基金，高校重点实验室访问学者基金的资助和支持 |
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| 摘 要： | 该文是组合论文中第二篇，讨论多Agent系统分布式问题求解的代数模型中的特性层和动力学层，即没粒度Agent群体的宏观群体智能的形式优化代数模型以及宏观社会智能与Agent个体间微观社会行为之间的社会动力学模型，提出了基于这种新的代数模型方法的超分布超并行社会智能问题求解算法，关于分布式多任务自组织规划和资源自组织分配的仿真实验以及与其它方法的比较分析，表明了该文提出了代数模型和问题求解方法的特点和有效性。
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| 关 键 词： | 多Agent系统 分布式人工智能 分布式问题求解 代数模型 群体智能 社会动力学 |
| 修稿时间： | 2000-01-21 |
A New Algebraic Modeling for Distributed Problem-Solving of Multi-Agent Systems(PartⅡ): Colony Intelligence and Social Dynamics |
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| SHUAI Dian Xun ),) GU Jing ) ). A New Algebraic Modeling for Distributed Problem-Solving of Multi-Agent Systems(PartⅡ): Colony Intelligence and Social Dynamics[J]. Chinese Journal of Computers, 2002, 25(2): 138-147 |
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| Authors: | SHUAI Dian Xun ) ) GU Jing ) ) |
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| Affiliation: | SHUAI Dian Xun 1),2) GU Jing 3) 1) |
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| Abstract: | This paper, as the second of companion papers, discusses the property level and the dynamics level of the algebraic modeling for distributed problem solving in multi agent systems. An algebraic formalization of macro intelligent properties defined over agent colonies with different granularities is presented, which tries to explore the essential features of social intelligence and to describe the relation between macroscopic social intelligence and microscopic social interactions among agent individuals. The social dynamics associated with social intelligence is also addressed. As a result, a new hyper distributed hyper parallel algorithm for problem solving in multi agent systems is obtained. The simulation on distributed self organizing multi task allocations and resource assignments, and the comparisons with other conventional methods show many advantages of the proposed algebraic approach. |
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| Keywords: | multi agent system distributed artificial intelligence distributed problem solving social intelligence social dynamics |
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