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ECAI
2004
Springer
13 years 10 months ago
Uncertain Linear Constraints
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying many AI uncertainty for...
Nic Wilson
ECSQARU
2005
Springer
13 years 11 months ago
Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties
Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating as well t...
Carlos Iván Chesñevar, Guillermo Ric...
FSS
2008
145views more  FSS 2008»
13 years 5 months ago
A logic programming framework for possibilistic argumentation: Formalization and logical properties
In the last decade defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning. The logic programming paradigm has s...
Teresa Alsinet, Carlos Iván Chesñeva...
FLAIRS
2006
13 years 6 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
UAI
2004
13 years 6 months ago
A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge
Defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning from incomplete and potentially inconsistent knowledge. ...
Carlos Iván Chesñevar, Guillermo Ric...