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» Merging Belief Bases Represented by Logic Programs
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RSFDGRC
2005
Springer
122views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Ordered Belief Fusion in Possibilistic Logic
Abstract. In this paper, we propose a logical framework for reasoning about uncertain belief fusion. The framework is a combination of multi-agent epistemic logic and possibilistic...
Churn-Jung Liau
FSS
2010
102views more  FSS 2010»
13 years 2 months ago
Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic
In this paper we investigate the relationship between two prioritized knowledge bases by measuring both the conflict and the agreement between them. First of all, a quantity of co...
Guilin Qi, Weiru Liu, David A. Bell
ATAL
2010
Springer
13 years 5 months ago
Merging example plans into generalized plans for non-deterministic environments
We present a new approach for finding generalized contingent plans with loops and branches in situations where there is uncertainty in state properties and object quantities, but ...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
AAAI
2008
13 years 7 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
AAAI
2010
13 years 5 months ago
Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations
When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As proba...
Jianbing Ma, Weiru Liu, Anthony Hunter