多智能体系统的建模与仿真:原理影响/反应

Najia Bouha
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引用次数: 0

摘要

本文介绍了目前最先进的建模技术,即宏观模型、介观模型和微观模型。并且我们会看到,为了解决上述模型中遇到的与空间和时间有关的问题,出现了一种新的比例模型,称为混合模型,它的目的是利用传统模型的优势,通过采用模型的现象。基于在公共环境中运行的一组自治实体的行为、动作和交互的直接表示的多智能体系统的仿真。在这种情况下,系统在宏观层面上的全局动态被看作是发生在微观层面上的动态相互作用的结果。与此方法相关的问题之一是这两个建模级别之间的联系,这是基本的。然而,基于微观层面的动力学推导系统的宏观动力学提出了许多技术和概念上的问题。本文将详细讨论Ferber和m ller的影响/反应模型,我们将强调其缺点,并在稍后提出IRM4S(模拟影响反应模型)模型,该模型清楚地解释了原理,并允许将微观层面的建模与宏观层面的建模结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and simulation of multi-agent systems: Principle influence / reaction
This paper presents a state of the art modeling techniques, namely the macroscopic model, mesoscopic and microscopic. And we will see that in order to solve problems related to space and time encountered in the above models, a new scale model called hybrid appeared Its purpose is to take advantage of conventional models, by adopting the model of the phenomenon. The simulation of multi-agent systems based on the direct representation of behaviors, actions and interactions of a set of autonomous entities operating in a common environment. In this context, the global dynamics of a system at the macroscopic level is seen as the result of the outcome of dynamic interactions that take place at the microscopic level. One of the problems associated with this approach is the link between these two levels of modeling, which is fundamental. However, deduct the macroscopic dynamics of a system based on the dynamics of microscopic level raises many technical and conceptual problems. The model Influence / Reaction of Ferber and Müller will be discussed in detail in this article we will emphasize its shortcomings, and present later the IRM4S (An Influence Reaction Model for Simulation) model that clearly explains the principleand which allows to articulate modeling micro level with the macro-level.
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