基于知识的仿真

Elena B. Durán, R. Costaguta
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引用次数: 16

摘要

人工智能与仿真中基于表示的方法的融合,催生了基于知识的仿真。这种新方法的目标是实现更强大和可理解的仿真,这将允许仿真开发人员构建、验证、开发和维护仿真,这些仿真可以模拟更广泛的复杂系统,并且允许用户与仿真交互,以便更好地理解建模现象。对专家系统在离散事件模拟的不同生命周期阶段可能做出的贡献进行了定义。具体来说,作者提出了一个离散事件系统的例子,特别是等待现象,从而构建了用于模型开发、参数估计和结果分析与解释的产生规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The knowledge-based simulation
The convergence of the representation based methods used in artificial intelligence and simulation has originated the emergence of knowledge-based simulation. The objective of this new approach is to achieve more powerful and understandable simulations, which will allow the simulation developers to construct, validate, develop and maintain simulations that can model a wider range of complex systems, and which will allow the users to interact with the simulation in order to achieve a greater comprehension of the modeling phenomenon. There is a definition of the possible contributions that the expert systems can give to the different life cycle stages of the discrete event simulation. Specifically, the authors propose an example of a discrete event system, in particular a waiting phenomenon, and consequently constructing production rules to be applied in model development, parameter estimation and results analysis and interpretation.
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