Cyber-physical systems (CPS) are becoming ubiquitous. Almost every device today has a controller that reads inputs through sensors, does some processing and then performs actions t...
We present a novel approach to non-monotonic ILP and its implementation called tal (Top-directed Abductive Learning). tal overcomes some of the completeness problems of ILP systems...
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
This work addresses the issue of prioritized reasoning in the context of logic programming. The case of preference conditions involving atoms is considered and a refinement of th...
Abstract. In this paper, we present a revision strategy of revising a conditional probabilistic logic program (PLP) when new information is received (which is in the form of probab...