A framework of expert system with strategic knowledge

Daisuke Tomoda, Minoru Tanaka, T. Ichikawa
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引用次数: 4

Abstract

The purpose of this study is to construct a system (an Extended Production System, for short, EPS) which selects a desirable strategy dynamically depending on its current state in the process of problem solving. In EPS, a special purpose production interpreter, which directs the system to change its strategies in cooperation with strategic rules, is provided on top of a Conventional Production System (for short, CPS). Furthermore, a set of tactic rules which is appropriate for the strategy is selected from a rulebase and used in order that CPS can restrict search space under the current strategy. This has made EPS capable of following up various problem solving requirements flexibly. A reduction of the number of comparisons between the tactic rules and Short Term Memory (STM) has been attained by declaration of a rule subset appropriate for the strategy in each strategic rule. These advantages have been examined through experiments in image data retrieval by examples.
具有战略知识的专家系统框架
本研究的目的是建构一个系统(Extended Production system,简称EPS),该系统在解决问题的过程中,会根据自身的当前状态,动态地选择一个理想的策略。在EPS中,在常规生产系统(简称CPS)之上提供了一个特殊用途的生产解释器,它指导系统根据战略规则改变其策略。此外,从规则库中选择一组适合该策略的战术规则,以便CPS可以限制当前策略下的搜索空间。这使得EPS能够灵活地跟踪各种解决问题的要求。通过在每个策略规则中声明适合策略的规则子集,减少了策略规则与短时记忆(STM)之间的比较次数。在图像数据检索实验中,通过实例验证了这些优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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