Reconfiguration using model-based diagnosis
Franz Wotawa, Markus Stumptner · 1999
Knowledge-based configuration is a successful application domain for AI techniques. An open issue in many practical domains is that of reconfiguration, typically exhibited by legacy systems that are to be extended, upgraded or simply altered. We discuss the use of a diagnosis approach to reconfiguration. We present the differing application and representation requirements, develop a representation that is suitable for expressing the information about the required and configurable functionalities from the diagnosis point of view, present an example and discuss our experiences.