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Quantitative Research on Emergent Behavior in Swarm Emergent Computation Model

Author: ZhouKai
Tutor: WuYu
School: Chongqing University of Posts and Telecommunications
Course: Applied Computer Technology
Keywords: Complex systems Emergent computation Swarm Rough Set Quantitative indicators Granularity
CLC: N941.4
Type: Master's thesis
Year: 2010
Downloads: 67
Quote: 0
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Abstract


Suddenly abound in the natural, social and other complex systems. Complex science has become a hot topic of discussion in the complex field of science, for the sudden the existing complex adaptive system. Although there have been many scholars realize that the emergent properties will be conducive to the rapid development of the disciplines of the complexity of the system, but studies in the field of research time frame yet, and summarized in theory, the lack of quantitative conclusions knowledge to explain. Therefore, how to build a system means to explain the inherent law of emergent properties in complex systems, given a reasonable quantitative scientific analysis has become one of the emergent computing research areas eager to solve the problem. This paper summarizes emergent computation to the field of development in the world based on the analysis of the difficulties and focus of current research in the field, for inrush current for the inherent variation scientific explanation of this focus. First of all, no perfect quantitative evaluation index for emergent behavior for the quantitative assessment of the intrinsic information, research and select a series of measurable characteristics of emergent internal assessment indicators. This article Swarm sudden now calculated model of emergent behavior for the study, based on Swarm suddenly now calculate the model's own characteristics, and qualitative analysis of the Swarm's emergent quantitative problems, combined with related traditional complexity disciplinary measure indicators and Swarm model can measurability analysis, given selected based on a quantitative assessment indicators and calculated its assessment and analysis. Meanwhile, the versatility of application of some indicators is analyzed. Secondly, for the sudden complex internal information, the law is difficult to explore the potential to build a set of systematic Swarm conflict existing for quantitative analysis method. Using data mining method based on rough set, respectively, from the model of kinetic parameters and behavior both quantitative indicators, the combination of rules based on different granularity levels of information access and integration, find the key factors play a decisive role in the process of emergent as well as the key rules used to determine the critical state and behavior Category emergent. For to sudden the existing complex systems research to explore a new idea. Finally, designed and implemented a research content Swarm sudden current prototype system for quantitative analysis.

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CLC: > SCIENCE AND > Journal of Systems Science > Systems,modern systems theory > Large scale system theory
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