Agent based scientific simulation and modeling
2000
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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