Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Equivalences of logic programs
Foundations of deductive databases and logic programming
Multilayer feedforward networks are universal approximators
Neural Networks
Reasoning about termination of pure Prolog programs
Information and Computation
Mathematical theory of domains
Mathematical theory of domains
Approximating the Semantics of Logic Programs by Recurrent Neural Networks
Applied Intelligence
Characterizations of Classes of Programs by Three-Valued Operators
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
Topology And The Semantics Of Logic Programs
Fundamenta Informaticae
Generalized metrics and uniquely determined logic programs
Theoretical Computer Science - Topology in computer science
A uniform approach to logic programming semantics
Theory and Practice of Logic Programming
On continuous models of computation: towards computing the distance between (logic) programs
IWFM'03 Proceedings of the 6th international conference on Formal Methods
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Several recent publications have exhibited relationships between the theories of logic programming and of neural networks. We consider a general approach to representing normal logic programs via feedforward neural networks. We show that the immediate consequence operator associated with each logic program, which can be understood as implicitly determining its declarative semantics, can be approximated by 3-layer feedforward neural networks arbitrarily well in a certain measure-theoretic sense. If this operator is continuous in a topology known as the atomic topology, then the approximation is uniform in all points.