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AAAI
2008
13 years 12 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 9 months ago
On the Implementation of the Probabilistic Logic Programming Language ProbLog
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
TLCA
2007
Springer
14 years 3 months ago
Higher-Order Logic Programming Languages with Constraints: A Semantics
A Kripke Semantics is defined for a higher-order logic programming language with constraints, based on Church’s Theory of Types and a generic constraint formalism. Our syntactic...
James Lipton, Susana Nieva
DBPL
1993
Springer
89views Database» more  DBPL 1993»
14 years 1 months ago
Database Programming in Transaction Logic
This paper presents database applications of the recently proposed Transaction Logic—an extension of classical predicate logic that accounts in a clean and declarative fashion f...
Anthony J. Bonner, Michael Kifer, Mariano P. Conse...
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