Model reduction for agent-based social simulation: coarse-graining a civil violence model.
Model reduction for agent-based social simulation: coarse-graining a civil violence model.
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基于代理的社会模拟的模型简化：粗粒度民事暴力模型。
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
I. Kevrekidis
中科院分区：
文献类型：
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作者：
Y. Zou;V. A. Fonoberov;M. Fonoberova;I. Mezić;I. Kevrekidis
基于主体的建模（ABM）构成了一个强大的计算工具，用于探索社会科学中涉及涌现动态行为的现象。本文展示了一种计算机辅助的方法，桥接单代理微观层面和宏观（粗粒度的人口）层面之间的重大差距，基本问题必须得到合理的回答和政策指导的紧急动态设计。我们的方法将通过基于代理的民间暴力模型来说明。这种时空变化的ABM包含了异质人口的公民[活跃（叛乱），不活跃，或被监禁]和警察人口之间的相互作用。详细的模拟显示出一种平衡，但会被社会动荡时期打断。我们展示了如何有效地减少基于代理的动态随机模型，只有两个粗粒度的自由度：被监禁的公民和活跃的公民的数量。粗粒度的模型捕捉反弹道导弹的动态，同时大大减少了计算时间（约20倍）。
Agent-based modeling (ABM) constitutes a powerful computational tool for the exploration of phenomena involving emergent dynamic behavior in the social sciences. This paper demonstrates a computer-assisted approach that bridges the significant gap between the single-agent microscopic level and the macroscopic (coarse-grained population) level, where fundamental questions must be rationally answered and policies guiding the emergent dynamics devised. Our approach will be illustrated through an agent-based model of civil violence. This spatiotemporally varying ABM incorporates interactions between a heterogeneous population of citizens [active (insurgent), inactive, or jailed] and a population of police officers. Detailed simulations exhibit an equilibrium punctuated by periods of social upheavals. We show how to effectively reduce the agent-based dynamics to a stochastic model with only two coarse-grained degrees of freedom: the number of jailed citizens and the number of active ones. The coarse-grained model captures the ABM dynamics while drastically reducing the computation time (by a factor of approximately 20).
DOI：
10.1073/pnas.0500334102
发表时间：
2005-05-24
影响因子：
11.1
作者：
Coifman, RR;Lafon, S;Zucker, SW
通讯作者：
Zucker, SW