Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Abstract. In human-like reasoning it often happens that different conditions, partially alternative and hierarchically structured, are mentally grouped in order to derive some conc...
Francesco Buccafurri, Gianluca Caminiti, Domenico ...
ue to a lack of abstraction in the formalization of deductive mechanisms involved in programming reasoning tools for the development of program synthesizers are not yet available. ...
Abstract: This paper describes the application of CLP (constraint logic programming) to several digital circuit design problems. It is shown that logic programming together with ef...
Access control is central to security in computer systems. Over the years, there have been many efforts to explain and to improve access control, sometimes with logical ideas and ...