Abstract. This paper extends a programming language for implementing cognitive agents with the capability to explicitly represent beliefs and reason about them. In this programming...
We introduce choice logic programs as negation-free datalog programs that allow rules to have exclusive-only (possibly empty) disjunctions in the head. Such programs naturally mod...
Abstract. In this paper, we first investigate set semantics of propositional logic in terms of rough sets and discuss how truth values of propositions (sentences) can be interpret...
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
We present a method for using standard techniques from satisfiability checking to automatically verify and discover theorems in an area of economic theory known as ranking sets o...