Due to the growing interest in social networks, link prediction has received significant attention. Link prediction is mostly based on graph-based features, with some recent approaches focusing on domain semantics. We ...

This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider graph-theoretic representations for propositional ...

We examine the representation of judgements of stochastic independence in probabilistic logics. We focus on a relational logic where (i) judgements of stochastic independence are encoded by directed acyclic graphs, and ...

In this paper we look at one of the seminal works of Rob van Glabbeek from a probabilistic angle. We develop the bisimulation spectrum with silent moves for probabilistic models, namelyMarkov decision processes. Especially ...

Recently, prediction of new links between two individuals in social networks has gained a lot of attention. However, to fully understand and predict how the network evolves through time, ending relationships also need to ...

Predicting potential links between unconnected nodes in a network, as collaboration networks, is a problem of great practical interest. Link prediction is mostly based on graph-based features and recently, on approaches ...

The process of synaptic transmission is projected onto the territory of quantum mechanics. Thus, the electric interactions are seen as probabilistic events more than a deterministic one. In this manner, the neurotransmitter ...

In this chapter, we propose a definition of logical consequence based on the relation between the quantity of information present in a particular set of formulae and a particular formula. As a starting point, we use Shannon’s ...