We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
Compositionality of programsis an important concern in knowledge representation and software development. In the context of Logic Programming, up till now, the issue has mostly be...
The learning system Progol5 and the underlying inference method of Bottom Generalisation are firmly established within Inductive Logic Programming (ILP). But despite their success...
The realization of fast datapaths in signal processing environments requires fastest, power efficient logic styles with synchronous behavior. This paper presents a method to combi...
Modal logic has a good claim to being the logic of choice for describing the reactive behaviour of systems modeled as coalgebras. Logics with modal operators obtained from so-calle...