£113.24

Springer Rule-Based Programming - AI and Machine Learning Book

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Description

Explore the fundamentals of the rule-based programming method with this comprehensive guide from Springer. Part of the Springer International Series in Engineering and Computer Science, this text provides a broad presentation of rule-based techniques used throughout the industry. Through various example programs, you can see the practical strengths of the rule-based approach. This method is a foundation for many artificial intelligence systems, including expert systems and machine learning. By studying these techniques, you can understand how they are applied in diverse professional fields such as medical diagnostic systems, insurance, and banking. This book is also an essential resource for those looking to bridge the semantic gap between an application and its underlying logic. Whether you are studying automated design or configuration systems, this text offers the technical depth needed to understand how rule-based logic functions in modern computing environments.

Key Features

Covers the rule-based programming method with a broad presentation of core concepts.

Includes many example programs to demonstrate the practical strengths of the rule-based approach.

Explains applications in artificial intelligence, including expert systems and machine learning.

Details real-world uses in medical diagnostic, insurance, and banking systems.

Provides insight into automated design and configuration systems.

Helps bridge the semantic gap between applications and logic.

Product Specifications

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

Barcode

No barcode data available

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