Fostering artificial societies using social learning and social control in parallel emergency management systems

doi:10.1007/s11704-012-1166-3

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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