基于Agent的科学仿真与建模

Ladislau Bölöni, D. Marinescu, J. Rice, P. Tsompanopoulou, E. Vavalis
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引用次数: 23

摘要

摘要复杂物理系统的仿真和建模通常涉及许多组件,因为(i)物理系统本身具有不同性质的组件,(ii)并行计算策略需要许多(有些独立的)组件,以及(iii)现有的仿真软件仅适用于更简单的几何形状和物理情况。我们讨论了如何将基于代理的网络应用于这种多组件应用程序。网络代理用于(a)控制子组件上现有求解器的执行,(b)在子组件之间进行调解,以及(c)协调集成的执行。本文重点介绍了偏微分方程(PDE)模型作为该方法的一个实例,并描述了使用PDE问题解决环境的PELLPACK和基于智能体计算的bond系统实现网络。版权
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent based scientific simulation and modeling
Computer Science Department, Purdue UniversitySUMMARYThe simulation and modeling of complex physical systems often involves many components because(i) the physical system itself has components of differing natures, (ii) parallel computing strategies requiremany (somewhat independent) components, and (iii) existing simulation software applies only to simplergeometrical shapes and physical situations. We discuss how agent based networks are applied to such multi-component applications. The network agents are used to (a) control the execution of existing solvers on sub-components, (b) mediate between sub-components, and (c) coordinate the execution of the ensemble. Thispaper focuses on partialdifferentialequation (PDE)models as an instanceof theapproach and describes theimplementation of networks using the PELLPACK problem solving environment for PDEs and the Bondsystem for agent based computing. Copyright
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