A Novel Component of Rule Generation in Ubiquitous Computing Environments

The proliferation of ubiquitous computing with mobile devices makes context models and information extremely rich and changing on account of context-aware environment changes over runtime. However, defining rules at design-time may impair their efficiency and the decision-making process. Therefore, it is important to address decision-making problems leveraged by dynamic environments and context models evolution. In this sense, a solution that could emerge is the continuous rule knowledge base evolution at runtime. In this paper, we propose a decision adaptation component to deal with the generation of rules to improve decision-making due to changes occurring around users at runtime. A case study is conducted to illustrate the implementation of the proposed component for the rule knowledge base enrichment and the decision-making improvement.