Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Following the framework proposed by Besnard and Hunter for argumentation, this paper aims to propose a logical tool for the generation of new arguments when two formal agents have...
In this paper, we propose a framework for information exchange among abductive agents whose local knowledge bases are enlarged with a set of abduced hypotheses. We integrate the as...
Marco Gavanelli, Evelina Lamma, Paola Mello, Paolo...
Abstract. In this paper, we present a framework for supporting intelligent fault and performance management for communication networks. Belief networks are taken as the basis for k...
To support applications, such as efficient browsing in large knowledge bases and cooperative knowledge discovery in large databases, the concept of rule similarity is essential. In...