Meta-Interpreters for Expert Systems (Computer and Information Science)

专家系统的元解释器（计算机和信息科学）

• 批准号: 8703911
• 负责人: Leon Sterling
• 金额: $ 15.62万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-01-01 至 1990-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8703911&HistoricalAwards=false
• 关键词: Meta; Interpreters; Expert; Systems; Computer

This research investigates the use of meta-interpreters for building expert systems in Prolog. An expert system is conceived as a knowledge base and a collection of simple meta-interpreters. Two main issues will are addressed: how to 'mix in' a meta-interpreter into a Prolog program, so that the program is imbued with the functionality of the meta-interpreter, and how to combine the effects of several meta-interpreters. Building on earlier work, a classification of meta-interpreters will be developed to facilitate combination. Expert systems would then be developed by building the knowledge base, describing extra features with meta-interpreters, combining them to produce a new metainterpreter, and then mixing the new meta-interpreter into the knowledge base. The necessary tools and techniques for facilitating such system development will be investigated and implemented. The importance of this work is its contribution to building expert systems with extensive knowledge bases which are still humanly manageable and interpretable.

这项研究调查了使用 在Prolog中构建专家系统的元解释器。 一个 专家系统被认为是一个知识库和一个集合 简单的元解释器。两个主要问题将是 如何将元解释器“混入”Prolog 程序，使程序充满了功能 以及如何将元解释器的效果联合收割机 几个元解释器 在以前工作的基础上， 元解释器的分类将被开发， 方便组合。 然后将开发专家系统 通过建立知识库，描述额外的功能， 元解释器，将它们组合起来， 元解释器，然后将新的元解释器混合到 知识库。 必要的工具和技术， 将研究如何促进这种系统的发展， 切实贯彻 这项工作的重要性在于它对 建立具有广泛知识库的专家系统， 仍然是人类可以管理和解释的。