The paper presents an unified Description Logic (DL) model for databases. Describing database models using DLs is a fundamental problem in many areas because it turns databases to...
Abstract. The logic FO(ID) uses ideas from the field of logic programming to extend first order logic with non-monotone inductive definitions. The goal of this paper is to exten...
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. denite clause programs containing probabilistic facts with a ...
Abstract. We present a declarative method for diagnosing missing computed answers in CFLP(D), a generic scheme for lazy Constraint Functional-Logic Programming which can be instant...