This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
WSML is an ontology language specifically tailored to annotate Web Services, and part of its semantics adheres to the rule-based knowledge representation paradigm of logic program...
Stephan Grimm, Uwe Keller, Holger Lausen, Gá...
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...
Abstract. Belief Logic Programming (BLP) is a novel form of quantitative logic programming in the presence of uncertain and inconsistent information, which was designed to be able ...