This paper describes an approach to constructing a probabilistic process model representing knowledge worker activity out of a log of primitive events, such as e-mails, web page v...
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
Abstract. Abductive reasoning has been recognized as a valuable complement to deductive inference for tasks such as diagnosis and integration of incomplete information despite its ...
Abstract. We present a compositional verification technique for systems that exhibit both probabilistic and nondeterministic behaviour. We adopt an assume-guarantee approach to ver...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...