Abstract. In this paper, we introduce a general and modular framework for formalizing reasoning with incomplete and inconsistent information. Our framework is composed of non-deter...
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
Many of today's CBR systems are passive in nature: they require human users to activate them manually and to provide information about the incoming problem explicitly. In this...