Abstract
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.
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Liu, L., Yu, E., Mylopoulos, J.: Security Design Based on Social Modeling. In: Proceedings of the Thirtieth Annual International Computer Software and Applications Conference (2006)
Mao, W.: Modeling Social Causality and Social Judgment in Multi-Agent Interactions. Ph.D. Dissertation. Computer Science Department, University of Southern California (2006)
Mao, W., Gratch, J.: Decision-Theoretic Approaches to Plan Recognition. ICT Technical Report ICT-TR-01-2004. USC Institute for Creative Technologies (2004)
Wang, F., et al.: Social Computing: From Social Informatics to Social Intelligence. IEEE Intelligent Systems, in press
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Mao, W., Zeng, D., Zhang, L., Wei, D., Wang, FY. (2007). Social Modeling and Reasoning for Security Informatics. In: Yang, C.C., et al. Intelligence and Security Informatics. PAISI 2007. Lecture Notes in Computer Science, vol 4430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71549-8_39
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DOI: https://doi.org/10.1007/978-3-540-71549-8_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71548-1
Online ISBN: 978-3-540-71549-8
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