Output details
11 - Computer Science and Informatics
University of Westminster
System evolution for unknown context through multi-action evaluation
<22>Originality: This paper proposes a framework for context-aware systems that finds the best action for unknown context through parallel multi-action evaluation and self-adaptation.
Significance: Generally, there are several ways for a context-aware system to select appropriate actions for a particular context change. However, there are situations where a system encounters unknown contexts. In such cases, instead of one action being implemented, our framework enables the concurrent implementation of multiple actions.
Rigour: In a case study, we show how our multi-action evaluation system can be implemented for a hypothetical service provider who uses the name-your-own-price mechanism to sell his perishable inventory.
