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» Unifying Logical and Probabilistic Reasoning
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FLAIRS
2006
13 years 10 months ago
Uncertainty Reasoning in Description Logics: A Generic Approach
Description Logics (DL) are gaining more popularity as the foundation of ontology languages for the Semantic Web. As most information in real life is imperfect, there has been an ...
Volker Haarslev, Hsueh-Ieng Pai, Nematollaah Shiri
AAAI
2008
13 years 10 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
JELIA
2004
Springer
14 years 1 months ago
Practical Reasoning for Uncertain Agents
Logical formalisation of agent behaviour is desirable, not only in order to provide a clear semantics of agent-based systems, but also to provide the foundation for sophisticated r...
Nivea de Carvalho Ferreira, Michael Fisher, Wiebe ...
LPNMR
2005
Springer
14 years 2 months ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar
SEMWEB
2009
Springer
14 years 3 months 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...