Knowledge Maintenance of Case-Based Reasoning Systems


The SIAM Methodology

Kein Bild zugeordnet
Autor/en:
T. Roth-Berghofer
Umfang:
264
EAN/ISBN:
978-3-89838-262-5
Band:
262
Ausgabe:
softcover
Buchreihe:
Dissertationen zur Künstlichen Intelligenz
Kategorien:
Buch
Informatik
Künstliche Intelligenz
Dissertationen zur Künstlichen Intelligenz
Englisch
Gesamtverzeichnis AKA Verlag#Complete Index AKA Publisher
Preis:
inkl. 7% MWSt
39,00 €
For all technical systems that are widely used, maintenance processes are available. Now that Case-Based Reasoning (CBR) has been used more and more over the last decade, a maintenance methodology was overdue. Thus, it is not only of academic but also of commercial interest to provide structured and cost effective maintenance of deployed CBR systems. The main idea to solve the maintenance problem is to employ a control loop on CBR systems, to observe its performance and to counteract any change that is not desired. Those changes, in principle, come from two sources. Changes may be due to the use of the system, for instance, when it learns new cases, or it may be due to changes of the environment such as changes in legislation, in technology, or in norms. In order to realize the control loop, the most widely used CBR process model was enhanced and placed in a broader context that regards the whole life cycle of a CBR system. The four phases Setup, Initialization, Application, and Maintenance form the basis of the SIAM methodology. SIAM extends the INRECA methodology that provides a framework for developing CBR solutions. With SIAM, better maintainable Case-Based Reasoning applications can be developed.