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Springer Rule-Based Programming: AI Systems & Expert Design Methods

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Description

Rule-Based Programming offers a comprehensive exploration of rule-based programming methods with practical example programmes demonstrating the effectiveness of the rule-based approach. This technique has been fundamental in developing artificial intelligence systems, including expert systems and machine learning applications. The rule-based programming methodology has found successful implementation across diverse sectors such as medical diagnostic systems, insurance and banking systems, and automated design and configuration systems. By bridging the semantic gap between applications and their underlying logic, this Springer text provides essential knowledge for computer scientists and engineers working with AI technologies and intelligent system design.

Key Features

Springer publication offering extensive coverage of rule-based programming techniques used in artificial intelligence system development.

Includes numerous example programmes that illustrate practical applications of rule-based programming across different domains.

Covers expert systems and machine learning applications demonstrating how rule-based methods solve real-world problems.

Explores rule-based programming implementation in medical diagnostics, insurance, banking, and automated design and configuration systems.

Part of The Springer International Series in Engineering and Computer Science, volume 369, providing academic-level technical content.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
05 October 2011
Listed Since
22 September 2013

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