In order to respond to one of the main challenges of Artificial Intelligence (AI), that is, the effective integration of learning and reasoning, both symbolic inference and statistical learning need ...

The perfect fit of syntactic derivability and logical consequence in first-order logic is one of the most celebrated facts of modern logic. In the present flurry of attention given to the semantics of ...

The main result of this paper is the following theorem: each modal logic extending K4 having the branching property below m and the effective m-drop point property is decidable with respect to ...

Abstract: Complex multi-hop logical queries are a highly regarded problem in the field of knowledge graphs. The challenge lies in whether the query model can effectively rely on observed entities and ...

Toonaangevend industrieel computerbedrijf Logic Supply start, in samenwerking met Amazon Web Services, met het aanbieden van een voorgeïnstalleerd AWS Greengrass met ML Inference op zijn ‘AWS ...

When someone talks about “AI”, today, they are referring to one particular type of AI: multi-layer neural nets trained on big data to recognize patterns. These so-called “deep learning” algorithms are ...

Abstract: Probabilistic logic programming extends logic programming by enabling the representation of uncertain information by means of probability theory. Probabilistic logic programming is at the ...