A research on human cognitive modeling in rumor spreading based on HTM

作     者：Li, Xiangchen Chen, X. Wang, Wei 

作者机构：School of Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan China 

出 版 物：《Communications in Computer and Information Science》 (Commun. Comput. Info. Sci.)

年 卷 期：2014年第461卷

页      面：268-277页

核心收录：

主　　题：Bayesian networks 

摘      要：As a sociological phenomenon, rumor spreading has been widely researched by sociologists and other fields’ scholars. How do people generate those strange thinking about the rumor? This paper, from artificial intelligence view, focuses on an algorithm based on Hierarchical Temporal Memory (HTM) to simulate human cognitive process of generating rumors from individual heterogeneous living experience. Comparison with classical Bayesian Networks, our algorithm could effectively and really simulate human cognitive process of rumors, and in accordance with some typical psychology effects proved by sociologists and psychologists. © Springer-Verlag Berlin Heidelberg 2014.