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» Probabilistic (logic) programming concepts
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AGP
1997
IEEE
14 years 2 months ago
An Algorithm for Learning Abductive Rules
We propose an algorithm for learning abductive logic programs from examples. We consider the Abductive Concept Learning framework, an extension of the Inductive Logic Programming ...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
WCRE
2006
IEEE
14 years 3 months ago
How Programs Represent Reality (and how they don't)
Programming is modeling the reality. Most of the times, the mapping between source code and the real world concepts is captured implicitly in the names of identifiers. Making the...
Daniel Ratiu, Florian Deissenboeck
ICLP
1995
Springer
14 years 1 months ago
Using Attributed Variables in the Implementation of Concurrent and Parallel Logic Programming Systems
Incorporating the possibility of attaching attributes to variables in a logic programming system has been shown to allow the addition of general constraint solving capabilities to...
Manuel V. Hermenegildo, Daniel Cabeza Gras, Manuel...
JELIA
2004
Springer
14 years 3 months ago
Logic Programs with Functions and Default Values
In this work we reconsider the replacement of predicate-like notation by functional terms, using a similar syntax to Functional Logic Programming, but under a completely different...
Pedro Cabalar, David Lorenzo
LOPSTR
2009
Springer
14 years 4 months ago
Coinductive Logic Programming with Negation
Answer Set Programming (ASP) is a powerful paradigm of logic programming for non-monotonic reasoning. However, the restriction of “grounded range-restricted function-free normal ...
Richard Min, Gopal Gupta