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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Social Modeling and Reasoning for Security Informatics
verfasst von : Wenji Mao, Daniel Zeng, Li Zhang, Donghua Wei, Fei-Yue Wang
Erschienen in: Intelligence and Security Informatics
Verlag: Springer Berlin Heidelberg
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The modeling of human social behavior is central to the design and system development of security-related applications [Liu
et al
, 2006, Wang
et al
, in press]. Social modeling can help identify social relations between entities, leading to better understanding and representation of social information required for ISI system design. Social reasoning provides computational frameworks to facilitate the inference of social knowledge, and in turn, can enhance the social and cognitive functionality of the related analysis. In this paper, we propose an agent-based model to represent social information, and based on the proposed social structure, we discuss the reasoning and analysis techniques to support the design and development of artificial social systems for ISI applications.