Abstract
In pervasive computing environments, context-aware applications face multiple challenges to keep high performance. One-challenge faced by context-aware applications is the frequent changing situations and environments around users at runtime. These changes could affect the quality of context reasoning and decision-making owing to the fact that decision-making rules defined a priori could lose their efficiency in dynamic environments. Consequently, it is certain that the quality of services provided for users would be decreased. Therefore, it is important to address context reasoning and decision-making problems leveraged by dynamic environments and context models evolution at runtime. In this paper, we propose a decision adaptation component to deal with the evolution of a rule knowledge base and subsequently the generation of appropriate adaptations and services more related to changes occurring around users at runtime. A case study is conducted to illustrate the implementation of the rule generation module for rule knowledge base enrichment and decision-making improvement.
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Jabla, R., Khemaja, M., Buendía, F., Faiz, S. (2022). A Novel Component of Decision-Making for Context-Aware Applications in Pervasive Environments. In: Novais, P., Carneiro, J., Chamoso, P. (eds) Ambient Intelligence – Software and Applications – 12th International Symposium on Ambient Intelligence. ISAmI 2021. Lecture Notes in Networks and Systems, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-031-06894-2_12
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