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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front Comput Sci    2012, Vol. 6 Issue (5) : 604-610    https://doi.org/10.1007/s11704-012-1166-3
RESEARCH ARTICLE
Fostering artificial societies using social learning and social control in parallel emergency management systems
Wei DUAN(), Xiaogang QIU
Research Center of Military Computational Experiments and Parallel Systems Technology, College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
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Abstract

How can we foster and grow artificial societies so as to cause social properties to emerge that are logical, consistent with real societies, and are expected by designers? We propose a framework for fostering artificial societies using social learning mechanisms and social control approaches. We present the application of fostering artificial societies in parallel emergency management systems. Then we discuss social learning mechanisms in artificial societies, including observational learning, reinforcement learning, imitation learning, and advice-based learning. Furthermore, we discuss social control approaches, including social norms, social policies, social reputations, social commitments, and sanctions.

Keywords artificial societies      social computing      social learning      social control      agent-based simulation     
Corresponding Author(s): DUAN Wei,Email:weiduan.mz@gmail.com   
Issue Date: 01 October 2012
 Cite this article:   
Xiaogang QIU,Wei DUAN. Fostering artificial societies using social learning and social control in parallel emergency management systems[J]. Front Comput Sci, 2012, 6(5): 604-610.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-012-1166-3
https://academic.hep.com.cn/fcs/EN/Y2012/V6/I5/604
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