Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation...
Sonia Bergamaschi, Francesco Guerra, Mirko Orsini,...
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Most existing software optimization research assumes advance knowledge of the component parameters. Perfect future knowledge of fault detection is an unnecessary oversimplificati...
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...