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Modeling Agent Social Joint Actions via Micro and Macro Coordination Strategies

机译:通过微观和宏观协调策略为代理人的社会共同行动建模

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摘要

This paper presents a multi-agent model for large crowd simulations that addresses the need for socially plausible coordination behavior. A computational model for multi-agent coordination informed by well-established common ground theory is proposed. We introduce the idea of macro- and micro-coordination strategies that allow agent-based simulations to adapt to different domains. Our agent model allows the selection of appropriate behaviors based on the spatiotemporal conditions of the agent-group's environment. By showing that different micro-coordination strategies of individual groups has an influence on the overall distribution of a crowd, we demonstrate the importance of incorporating such models into multi-agent simulations of large crowd behaviors.
机译:本文提出了一种用于大型人群模拟的多主体模型,该模型解决了社会上合理的协调行为的需求。提出了基于公认的共同基础理论的多智能体协调计算模型。我们介绍了宏观和微观协调策略的思想,这些策略允许基于代理的模拟适应不同的领域。我们的代理模型允许根据代理组环境的时空条件选择适当的行为。通过显示各个群体的不同微观协调策略会对人群的总体分布产生影响,我们证明了将此类模型纳入大型人群行为的多主体模拟中的重要性。

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