Abstract. In this paper we explore the potential of adaptive recommendation techniques in an environment where users can access a variety of services from different locations, and ...
Edoardo Pignotti, Peter Edwards, Gunnar Aastrand G...
Abstract. Defeasible logic (DL) promotes enthymemic, argumentative reasoning on incomplete set of premisses retracted on the presence of contrary information. Defeasible Prolog (d-...
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
This paper addresses the diagnosability problem of distributed discrete event systems. Until now, the problem of diagnosability has always been solved by considering centralised ap...
This paper investigates a loosely coupled approach to planning and scheduling integration, which consists of cascading a planner and a scheduler. While other implementations of thi...
Abstract. This paper analyses how general-purpose semantic hierarchies could be helpful in the construction of one-to-many mappings between the coarse-grained relational concepts a...
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio ...
Abstract. Multimodal human to human interaction requires integration of the contents/meaning of the modalities involved. Artificial Intelligence (AI) multimodal prototypes attempt...
Many approaches have been proposed for reasoning based on conflicting information in general and in particular on stratified knowledge bases, i.e. bases in which all pieces of i...