摘要
结合社会学、心理学的知识,讨论现有相关公众恐慌的研究内容。在计算实验理论、Agent建模技术等信息技术的基础上,提出并讨论了利用计算实验来进行公众恐慌研究的几个问题:如何为进行公众恐慌研究建立一套恐慌信息传播人工系统来进行计算实验;如何通过计算实验数据对公众恐慌进行动态度量等。
Based on the computational methods of experiments and agent modeling technology, and combining sociology and psychology, the paper presents the method of computational experiments for research of Urban Mass Panic （UMP）. It proposes a panic-information transmitting artificial system for computational experiments with agent modeling technology. The system consists of two kinds of agents： social individual agents and panic alarming agents. Social individual agents are designed to simulate persons living in the common human society. These agents which contain the ability of panic information recognition, reflection and making different decisions are simulated with some nonlinear methods, such as fuzzy neural network. Panic alarming agents are designed to simulate circumstance which engenders panic information or panic phenomenon. These agents collect information about panic and release information to social individual agents by different transmitting methods we can imagine. The paper also discusses how to dynamically carry through measurement to check the level of UMP by the information entropy theory.
出处
《华中科技大学学报（社会科学版）》
CSSCI
北大核心
2009年第2期34-37,共4页
Journal of Huazhong University of Science and Technology(Social Science Edition)
关键词
计算实验
公众恐慌
建模技术
Computational Methods for Experiments （CME）
Urban Mass Panic （UMP）
agent modeling technology
