Chapter

Intelligence and Security Informatics

Volume 5075 of the series Lecture Notes in Computer Science pp 401-412

Agent-Based Social Simulation and Modeling in Social Computing

  • Xiaochen LiAffiliated withKey Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences
  • , Wenji MaoAffiliated withKey Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences
  • , Daniel ZengAffiliated withKey Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of SciencesDepartment of Management Information Systems, University of Arizona
  • , Fei-Yue WangAffiliated withKey Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences

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Abstract

Agent-based social simulation (ABSS) as a main computational approach to social simulation has attracted increasing attention in the field of social computing. With the development of computer and information technologies, many new ABSS approaches have been proposed with wide application.. In this paper, we aim at reviewing research and applications of agent-based social simulation and modeling in recent years from a social computing perspective. We identify the underlying social theories for ABSS, its simulation and modeling techniques, and computational frameworks from both individual agent and multi-agent system perspective. We finally address some future research issues in agent-based social simulation and modeling.

Keywords

social simulation and modeling agent-based approach computational framework social computing