Controlling Nonlinear Hierarchical Planning by Case Replay
- We describe a hybrid case-based reasoning system supporting process planning for machining workpieces. It integrates specialized domain dependent reasoners, a feature-based CAD system and domain independent planning. The overall architecture is build on top of CAPlan, a partial-order nonlinear planner. To use episodic problem solving knowledge for both optimizing plan execution costs and minimizing search the case-based control component CAPlan/CbC has been realized that allows incremental acquisition and reuse of strategical problem solving experience by storing solved problems as cases and reusing them in similar situations. For effective retrieval of cases CAPlan/CbC combines domain-independent and domain-specific retrieval mechanisms that are based on the hierarchical domain model and problem representation.
|Author:||Stefan Wess, Hector Munoz-Avila, Jürgen Paulokat|
|URN (permanent link):||urn:nbn:de:hbz:386-kluedo-1168|
|Language of publication:||English|
|Year of Completion:||1999|
|Year of Publication:||1999|
|Publishing Institute:||Technische Universität Kaiserslautern|
|Tag:||Fallbasiertes Schließen; case-based reasoning|
This research was partially sponsored by the Deutsche Forschungsgemeinschaft (DFG), Sonderforschungsbereich (SFB) 314: "Künstliche Intelligenz - Wissensbasierte Systeme", Project X9 (1991 - 1995).
|Faculties / Organisational entities:||Fachbereich Informatik|
|DDC-Cassification:||004 Datenverarbeitung; Informatik|