Abstract. Model generation is an important formal technique for finding interesting instances of computationally hard problems. In this paper we study model generation over Horn lo...
We consider computational issues in combining logical knowledge bases represented by their characteristic models; in particular, we study taking their logical intersection. We pre...
Previous researchers have proposed generalizations of Horn clause logic to support negation and nondeterminism as two separate extensions. In this paper, we show that the stable m...
The E-KRHyper system is a model generator and theorem prover for first-order logic with equality. It implements the new E-hyper tableau calculus, which integrates a superposition-b...
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...