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» Set Constraints in Logic Programming
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LPNMR
2004
Springer
14 years 1 months ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
Chitta Baral, Michael Gelfond, J. Nelson Rushton
MP
2002
113views more  MP 2002»
13 years 7 months ago
A note on sensitivity of value functions of mathematical programs with complementarity constraints
Using standard nonlinear programming (NLP) theory, we establish formulas for first and second order directional derivatives for optimal value functions of parametric mathematical ...
Xinmin Hu, Daniel Ralph
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 8 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
ICLP
2010
Springer
14 years 1 days ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian
AAAI
1992
13 years 9 months ago
Lexical Imprecision in Fuzzy Constraint Networks
We define fuzzy constraint networks and prove a theorem about their relationship to fuzzy logic. Then we introduce Khayyam, a fuzzy constraint-based programming language in which ...
James Bowen, K. Robert Lai, Dennis Bahler