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A model for CBR systems that adapt to rapidly changing context

: Decker, B.; Nick, M.

Minor, M. ; Universität Trier:
8th European Conference on Case-Based Reasoning, ECCBR 2006. Workshop Proceedings : September 4th-7th 2006, Ölüdeniz/Fethiye, Turkey
Trier, 2006
European Conference on Case-Based Reasoning (ECCBR) <8, 2006, Ölüdeniz/Fethiye>
Workshop on TCBR - Reasoning with Text <2006, Ölüdeniz/Fethiye>
Workshop on CBR in the Health Sciences <2006, Ölüdeniz/Fethiye>
Workshop on Uncertainty and Fuzziness in Case-Based Reasoning <2006, Ölüdeniz/Fethiye>
International Workshop on Case-Based Reasoning and Context-Awareness <2006, Ölüdeniz/Fethiye>
Conference Paper
Fraunhofer IESE ()
BelAmI; ambient intelligence; experience management; case-based reasoning; assisted living

Challenges in context-sensitive applications are not limited to reasoning. Rapid changes in the environment, which are reflected by the context information, pose a particular challenge. During the run of a single CBR cycle, a lazy adaptation can be used to deal with this challenge of rapidly changing context. In an ambient intelligence system, there is also the need to modularize the knowledge according to the overall system. We present a model for CBR in such a setting. The model consists of an extended/modified CBR process, a knowledge model, and an architecture pattern for embedding a CBR module into an ambient intelligence system. Our focus is on the context-aware adaptation of the actions to be executed when a certain situation is recognized. The technical feasibility of our model has been evaluated with an application in the area of ambient assisted living for elderly people.