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Kads: A Principled Approach to Knowledge-Based System Development
Contributor(s): Schreiber, Guus, Wielinga, Bob, Breuker, Joost
ISBN: 0126290407     ISBN-13: 9780126290400
Publisher: Academic Press
OUR PRICE:   $231.00  
Product Type: Hardcover - Other Formats
Published: May 1993
* Not available - Not in print at this time *Annotation: KADS is a structured methodology for the development of knowledge based systems which has been adopted throughout the world by academic and industrial professionals alike. KADS approaches development as a modeling activity. Two key characteristics of KADS are the use of multiple models to cope with the complexity of knowledge engineering and the use of knowledge-level descriptions as an immediate model between system design and expertise data. The result is that KADS enables effective KBS construction by building a computational model of desired behavior for a particular problem domain.
KADS contains three section: the Theoretical Basis of KADS, Languages and Tools, and Applications. Together they form a comprehensive sourcebook of the how and why of the KADS methodology. KADS will be required reading for all academic and industrial professionals concerned with building knowledge-based systems. It will also be a valuable source for students of knowledge acquisition and KBS.
* SPECIAL FEATURES:
* KADS is the most widely used commercial structured methodology for KBS development in Europe and is becoming one of the few significant AI exports to the US.
* Describes KADS from its Theoretical Basis, through Language and Tool Developments, to real Applications.
Additional Information
BISAC Categories:
- Computers | Expert Systems
- Computers | Data Modeling & Design
Dewey: 006.33
Series: Knowledge-Based Systems
Physical Information: 1.03" H x 6.69" W x 9.61" (1.76 lbs) 457 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
KADS is a structured methodology for the development of knowledge based systems which has been adopted throughout the world by academic and industrial professionals alike. KADS approaches development as a modeling activity. Two key characteristics of KADS are the use of multiple models to cope with the complexity of knowledge engineering and the use of knowledge-level descriptions as an immediate model between system design and expertise data. The result is that KADS enables effective KBS construction by building a computational model of desired behavior for a particular problem domain.
KADS contains three section: the Theoretical Basis of KADS, Languages and Tools, and Applications. Together they form a comprehensive sourcebook of the how and why of the KADS methodology. KADS will be required reading for all academic and industrial professionals concerned with building knowledge-based systems. It will also be a valuable source for students of knowledge acquisition and KBS.