Controlling a Nonlinear Hierarchical Planner Using 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 built 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 implemented 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.

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Metadaten
Author:Hector Munoz-Avila, Jürgen Paulokat, Stefan Wess
URN (permanent link):urn:nbn:de:hbz:386-kluedo-699
Document Type:Article
Language of publication:English
Year of Completion:1995
Year of Publication:1995
Publishing Institute:Technische Universität Kaiserslautern
Note:
Sonderforschungsbereich (SFB) 314: "Künstliche Intelligenz - Wissensbasierte Systeme", Project X9 (1991 - 1995)
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:004 Datenverarbeitung; Informatik

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