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...
Agents operating in the real world have to deal with a constantly changing and only partially predictable environment and are nevertheless expected to choose reasonable actions qui...
Recent work has shown the promise in using local-search “probes” as a basis for directing a backtracking-based refinement search. In this approach, the decision about the next...
Alexander Nareyek, Stephen F. Smith, Christian M. ...