An augmented pragmatics by explanation-aware and recommendation-aware in the context of decision support

摘要

The decision support has a strong relationship with pragmatics specifically when the uncertainty is important. In addition, explanation-aware computing is an important component in the process of interaction between Decision Support Systems DSS and users. It represents the basic component of pragmatics for the complex reasoning systems. The recommendation of useful guidelines and research articles is also an important task, which can influence the pragmatics. The intelligent interaction between complex systems and users requires awareness in the context of mass uses applications. The requested awareness can be ensured by including several factors from the context of interaction. In this paper, we present a newest approach for meaningful interaction between a strong Case-Based decision support system and categorized mass users. The originality of this approaches reside in the augmented pragmatics proposed by considering tow aware-component (explainer and recommender).