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Expert systems in Prolog / Dennis Merritt.

By: Material type: TextTextPublisher: [Place of publication not identified] : Independently published, 2017Description: 231 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781723821868
  • 1723821861
Other title:
  • Expert systems in Prolog
Subject(s): LOC classification:
  • QA76.76.E95 MER
Contents:
1. Introduction -- 2. Using Prolog's inference engine -- 3. Backward chaining with uncertainty -- 4. Explanation -- 5. Forward chaining -- 6. Frames -- 7. Integration -- 8. Performance -- 9. User interface -- 10. Two hybrids -- 11. Prototyping --12. Rubik's cube.
Summary: "This book should probably be called "Building Expert System Shells in Prolog." While Prolog is an excellent language for directly implementing some rule-based applications, it's greater strength is the ease with which it can model complex knowledge structures and the reasoning strategies required to use them. For example, while Prolog has native support for backward-chaining rules, it takes just a few lines of code to implement a shell for forward-chaining, production system applications. This book explores different knowledge representations and reasoning strategies, with sample of the sorts of applications that can be built with them." --Back of cover.
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Item type Current library Copy number Status Barcode
Books Books Semantic Foundation / Ausstellungsstraße 1 Available 0000000000048

"Expert systems in Prolog"--Cover.

1. Introduction -- 2. Using Prolog's inference engine -- 3. Backward chaining with uncertainty -- 4. Explanation -- 5. Forward chaining -- 6. Frames -- 7. Integration -- 8. Performance -- 9. User interface -- 10. Two hybrids -- 11. Prototyping --12. Rubik's cube.

"This book should probably be called "Building Expert System Shells in Prolog." While Prolog is an excellent language for directly implementing some rule-based applications, it's greater strength is the ease with which it can model complex knowledge structures and the reasoning strategies required to use them. For example, while Prolog has native support for backward-chaining rules, it takes just a few lines of code to implement a shell for forward-chaining, production system applications. This book explores different knowledge representations and reasoning strategies, with sample of the sorts of applications that can be built with them." --Back of cover.

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