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» CLP(BN): Constraint Logic Programming for Probabilistic Know...
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AMAI
1999
Springer
13 years 5 months ago
Logic Programs with Stable Model Semantics as a Constraint Programming Paradigm
Logic programming with the stable model semantics is put forward as a novel constraint programming paradigm. This paradigm is interesting because it bring advantages of logic prog...
Ilkka Niemelä
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
14 years 5 days ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
ICLP
2009
Springer
14 years 6 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
EUSFLAT
2009
114views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
The Use of Interval-Valued Probability Measures in Fuzzy Linear Programming: a constraint set approach
This paper uses a constraint set approach to linear programming problems with equality constraints whose coefficients and/or right-hand side values could be uncertain. We consider ...
Phantipa Thipwiwatpotjana, Weldon A. Lodwick
SEMWEB
2009
Springer
14 years 9 days ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...