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首页> 外文期刊>Artificial Intelligence Review: An International Science and Engineering Journal >Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems
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Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems

机译：快速多极点方法基于多主体的仿真：应用于植绒动力学系统的大规模仿真

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摘要

This article introduces a novel approach to increase the performances of multi-agent based simulations. We focus on a particular kind of multi-agent based simulation where a collection of interacting autonomous situated entities evolve in a situated environment. Our approach combines the fast multipole method coming from computational physics with agent-based microscopic simulations. The aim is to speed up the execution of a multi-agent based simulation while controlling the precision of the associated approximation. This approach may be considered as the first step of a larger effort aiming at designing a generic kernel to support efficient large-scale multi-agent based simulations. This approach is illustrated in this paper by the simulation of large scale flocking dynamical systems.
机译：本文介绍了一种新颖的方法来提高基于多主体的仿真的性能。我们专注于一种特定的基于多主体的仿真，其中交互的自治位置实体的集合在位置环境中演化。我们的方法将计算物理学中的快速多极方法与基于代理的微观模拟相结合。目的是在控制相关近似值的精度的同时加快基于多主体的仿真的执行。该方法可以视为旨在设计通用内核以支持有效的大规模基于多代理的仿真的更大努力的第一步。本文通过大规模植绒动力学系统的仿真说明了这种方法。

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