A Principled Approach to Knowledge-Based System Development To order this title, and for more information, click here
Guus Schreiber Bob Wielinga Joost Breuker
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.
Contents Introduction and Overview. Theoretical Basis. Modeling Expertise. Modleing System: User Cooperation in KADS. A KADS Domain Description
Language. Model Construction. 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. Applications. 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. Bibliography. Name Index. Subject Index.
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