Sciweavers

115 search results - page 12 / 23
» Representing First-Order Causal Theories by Logic Programs
Sort
View
IWFM
2000
112views Formal Methods» more  IWFM 2000»
13 years 8 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
13 years 11 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
13 years 9 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
13 years 11 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
13 years 5 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