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Knowledge representation and rule-based solution system for dynamic programming model

机译:基于知识表示和基于规则的动态规划模型解决方案系统

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摘要

A knowledge representation has been proposed using the state-space theory of Artificial Intelligencefor Dynamic Programming Model, in which a model can be defined as a six-tuple M = (I,G,O,T,D,S). Abuilding block modeling method uses the modules of a six-tuple to form a rule-based solution model. Moreover,a rule-based system has been designed and set up to solve the Dynamic Programming Model. This knowledge-based representation can be easily used to express symbolical knowledge and dynamic characteristics for Dynam-ic Programming Model, and the inference based on the knowledge in the process of solving Dynamic Program-ming Model can also be conveniently realized in computer.
机译:已经使用人工智能的状态空间理论提出了用于动态规划模型的知识表示,其中可以将模型定义为六元组M =(I,G,O,T,D,S)。积木建模方法使用六元组的模块来形成基于规则的解决方案模型。此外,已经设计并建立了一个基于规则的系统来解决动态规划模型。这种基于知识的表示可以很容易地用于表达动态编程模型的符号知识和动态特性,并且在求解动态编程模型的过程中,基于该知识的推理也可以在计算机中方便地实现。

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