In this paper we considered the extension of the First-order Logic Bealer’s intensional abstraction operator. Contemporary use of the term ’intension’ derives from the tradit...
Abstract. Logic programming languages based on linear logic are of both theoretical and practical interest, particulaly because such languages can be seen as providing a logical ba...
Essential elements of aspect-oriented programming can be formulated as forms of logic programming. Extensions of Horn Clause rovide richer abstraction and control mechanisms. Defi...
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...