Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
Abstract. In this paper, we describe an approach for ontology comprehension support called model exploration in which models for ontologies are generated and presented interactivel...
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
—This paper makes two contributions towards the logical modelling of inhibition in metabolic networks. First it exposes the logical inconsistency of an existing state-of-the-art ...
We propose L-nets as a game model of concurrent interaction. L-nets, which correspond to strategies (in Games Semantics) or designs (in Ludics), are graphs rather than trees; the ...