Abstract
Applications need facilities for recognizing and adapting to context in order to provide useful and user-centered results. There are several problems to be addressed when building context-aware applications, two of which being how to defineand manage all available contextual information and how to distinguishrelevant from non-relevant context for a given task. In this paper, we focus on the second problem and propose a context definition and model for a context-aware agent. We exploit this model to build agents that learn to select relevant context and to use it to make decisions.
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Bucur, O., Beaune, P., Boissier, O. (2006). Steps Towards Making Contextualized Decisions: How to Do What You Can, with What You Have, Where You Are. In: Roth-Berghofer, T.R., Schulz, S., Leake, D.B. (eds) Modeling and Retrieval of Context. MRC 2005. Lecture Notes in Computer Science(), vol 3946. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11740674_5
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DOI: https://doi.org/10.1007/11740674_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33587-0
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