shell如何提高专家系统的可维护性?

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Pub Date : 1990-11-06 DOI:10.1109/TAI.1990.130350

J. Yen

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引用次数: 0

摘要

作者指出了两个重要的领域，下一代专家系统外壳可以帮助减轻与大型专家系统维护相关的一些问题:(1)支持一致领域模型的开发，(2)改进规则库的结构和模块化。专家系统的知识库由问题域的模型和系统解决问题行为的描述组成。因此，基于知识的系统的可维护性取决于这两个组件的良好设计。一个展示了这里描述的一些功能的shell的例子是CLASP。

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How could a shell improve the maintainability of expert systems?

The author points out two important areas in which next-generation expert system shells could contribute to alleviate some of the problems associated with the maintenance of large expert systems: (1) supporting the development of a consistent domain model, and (2) improving the structure and the modularity of the rule base. The knowledge base of an expert system consists of a model of the problem domain and a description of the system's problem solving behavior. The maintainability of a knowledge-based system thus depends on a good design of both components. An example of a shell that exhibits some of the capabilities described here is CLASP.<>

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[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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