Agent-Based Social Simulation and Modeling in Social Computing

  • Xiaochen Li
  • Wenji Mao
  • Daniel Zeng
  • Fei-Yue Wang
Conference paper

DOI: 10.1007/978-3-540-69304-8_41

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5075)
Cite this paper as:
Li X., Mao W., Zeng D., Wang FY. (2008) Agent-Based Social Simulation and Modeling in Social Computing. In: Yang C.C. et al. (eds) Intelligence and Security Informatics. ISI 2008. Lecture Notes in Computer Science, vol 5075. Springer, Berlin, Heidelberg

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 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xiaochen Li
    • 1
  • Wenji Mao
    • 1
  • Daniel Zeng
    • 1
    • 2
  • Fei-Yue Wang
    • 1
  1. 1.Key Laboratory of Complex Systems and Intelligence Sciences, Institute of AutomationChinese Academy of SciencesChina
  2. 2.Department of Management Information SystemsUniversity of ArizonaUSA

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