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AAAI
2008
15 years 1 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»
14 years 10 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
15 years 4 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»
15 years 2 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...
PEPM
2009
ACM
15 years 7 months ago
Linear logical approximations
ract interpretation of programs relates the exact semantics of a programming language to an approximate semantics that can be effectively computed. We show that, by specifying ope...
Robert J. Simmons, Frank Pfenning