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» Representing First-Order Causal Theories by Logic Programs
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IWFM
2000
112views Formal Methods» more  IWFM 2000»
15 years 1 months ago
A Note on the Relationships Between Logic Programs and Neural Networks
Several recent publications have exhibited relationships between the theories of logic programming and of neural networks. We consider a general approach to representing normal lo...
Pascal Hitzler, Anthony Karel Seda
COLT
1994
Springer
15 years 3 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
AAAI
2004
15 years 1 months ago
Logic Programs with Abstract Constraint Atoms
We propose and study extensions of logic programming with constraints represented as generalized atoms of the form C(X), where X is a finite set of atoms and C is act constraint (...
Victor W. Marek, Miroslaw Truszczynski
AIIA
1995
Springer
15 years 3 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
PPDP
2010
Springer
14 years 9 months ago
Tabling for transaction logic
Transaction Logic is a logic for representing declarative and procedural knowledge in logic programming, databases, and AI. It has been successful in areas as diverse as workflows...
Paul Fodor, Michael Kifer