This paper describes an approach to improving the problem solving ability of expert systems by using both heuristic and model-basedreasoning.
本文介绍一种用结合启发性推理和基于模型的推理来改善专家系统问题求解能力的方法。
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The logical characteristic of model-basedreasoning is the reliable perfect logical relation is established between prototype and model, model and theoretical hypothesis.
The reasoning is usually based on a discounted-cashflow model; a lower bond yield means a lower discount rate and thus a higher present value for shares.