Rule-Based Programming
By: edited by Thaddeus J. Kowalski, Leon S. Levy
Contributors: Levy, Leon S.
Series: The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems -- 369; Kluwer international series in engineering and computer science -- 369.
Publisher: Springer US
Published: 1996
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 328
ISBN-13: 9781461286240; 9781461314356
Subjects: Software engineering; Computer science; Artificial intelligence
Description: Rule-Based Programming is a broad presentation of the rule-based programming method with many example programs showing the strengths of the rule-based approach. The rule-based approach has been used extensively in the development of artificial intelligence systems, such as expert systems and machine learning. This rule-based programming technique has been applied in such diverse fields as medical diagnostic systems, insurance and banking systems, as well as automated design and configuration systems. Rule-based programming is also helpful in bridging the semantic gap between an application and a program, allowing domain specialists to understand programs and participate more closely in their development. Over sixty programs are presented and all programs are available from an ftp site. Many of these programs are presented in several versions allowing the reader to see how realistic programs are elaborated from `back of envelope' models. Metaprogramming is also presented as a technique for bridging the `semantic gap'. Rule-Based Programming will be of interest to programmers, systems analysts and other developers of expert systems as well as to researchers and practitioners in artificial intelligence, computer science professionals and educators.
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