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IJCAI
2007
13 years 8 months ago
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
Chitta Baral, Matt Hunsaker
ICLP
2009
Springer
14 years 7 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...
UAI
2003
13 years 8 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...
IJAR
2008
106views more  IJAR 2008»
13 years 6 months ago
Probabilistic logic with independence
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jo...
LANMR
2004
13 years 8 months ago
New Semantics for Hybrid Probabilistic Programs
Hybrid probabilistic programs framework [5] is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge...
Emad Saad