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.
|Introduction and Overview|
|Modleing System: User Cooperation in KADS|
|A KADS Domain Description Language|
|Operationalizing Models of Expertise|
|KADS and Conventional Software Engineering|
|Languages and Tools|
|A Formal Language for KADS Models of Expertise|
|MODEL-K: Making KADS Run|
|Using OMOS to Represent KADS Conceptual Models|
|Shelley-Computer Aided Knowledge Engineering|
|The Paint Advisor: A Communicative Expert System|
|Managing and Maintaining an Operational KADS System|
|Rational Reconstruction of Diagnostic Expertise|
|Qualitative Prediction of Behavior|
|A KADS Conceptual Model of the ONOCIN Task|
|Applying KADS to the Sisyphus Domain|
|Using KADS to Analyze Problem-Solving Methods|
|Table of Contents provided by Publisher. All Rights Reserved.|
Series: Knowledge-Based Systems
Number Of Pages: 457
Published: 1st March 1993
Publisher: Elsevier Science Publishing Co Inc
Country of Publication: US
Dimensions (cm): 22.9 x 15.2 x 2.54
Weight (kg): 0.82