首页> 外文会议>International Conference on Computational Science(ICCS 2006) pt.3; 20060528-31; Reading(GB) >On Modeling and Analyzing Sparsely Networked Large-Scale Multi-agent Systems with Cellular and Graph Automata
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On Modeling and Analyzing Sparsely Networked Large-Scale Multi-agent Systems with Cellular and Graph Automata

机译:基于图元自动机的稀疏网络化大型多主体系统建模与分析

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Modeling, designing and analyzing large scale multi-agent systems (MAS) with anywhere from tens of thousands to millions of autonomous agents will require mathematical and computational theories and models substantially different from those underlying the study of small- to medium-scale MAS made of only dozens, or perhaps hundreds, of agents. In this paper, we study certain aspects of the global behavior of large ensembles of simple reactive agents. We do so by analyzing the collective dynamics of several related models of discrete complex systems based on cellular automata. We survey our recent results on dynamical properties of the complex systems of interest, and discuss some useful ways forward in modeling and analysis of large-scale MAS via appropriately modified versions of the classical cellular automata.
机译:建模,设计和分析具有成千上万到数百万个自治代理的大规模多主体系统(MAS),将需要数学和计算理论与模型,这些理论和模型与由MSM组成的中小型MAS的研究基础大不相同。只有几十个,甚至数百个代理商。在本文中,我们研究了简单反应剂的大型整体整体行为的某些方面。我们通过分析基于细胞自动机的离散复杂系统的几个相关模型的集体动力学来做到这一点。我们调查了我们感兴趣的复杂系统的动力学性质的最新结果,并讨论了通过适当修改的经典细胞自动机版本对大型MAS进行建模和分析的一些有用方法。

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