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DSL
2009
10 years 11 months ago
A DSL for Explaining Probabilistic Reasoning
We propose a new focus in language design where languages provide constructs that not only describe the computation of results, but also produce explanations of how and why those r...
Martin Erwig, Eric Walkingshaw
IJAR
2008
90views more  IJAR 2008»
11 years 1 months ago
The Dempster-Shafer calculus for statisticians
The Dempster-Shafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) whe...
Arthur P. Dempster
UAI
2000
11 years 2 months ago
Pivotal Pruning of Trade-offs in QPNs
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilist...
Silja Renooij, Linda C. van der Gaag, Simon Parson...
FLAIRS
2000
11 years 2 months ago
Zooming in on Trade-Offs in Qualitative Probabilistic Networks
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. As a consequence of their coarse level of representation detail, qualitativ...
Silja Renooij, Linda C. van der Gaag, Shaw Green, ...
IJCAI
2003
11 years 2 months ago
Sampling Combinatorial Spaces Using Biased Random Walks
For probabilistic reasoning, one often needs to sample from a combinatorial space. For example, one may need to sample uniformly from the space of all satisfying assignments. Can ...
Jordan Erenrich, Bart Selman
IJCAI
2007
11 years 2 months ago
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
Chitta Baral, Matt Hunsaker
ESWS
2008
Springer
11 years 3 months ago
Pronto: A Non-monotonic Probabilistic Description Logic Reasoner
Abstract. The demonstration presents Pronto - a prototype of a nonmonotonic probabilistic reasoner for very expressive Description Logics. Pronto is built on top of the OWL DL reas...
Pavel Klinov
FLAIRS
2007
11 years 3 months ago
Learning Uncertain Rules with CONDORCKD
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
Jens Fisseler, Gabriele Kern-Isberner, Christoph B...
AAAI
2007
11 years 3 months ago
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
David Poole
NMR
2004
Springer
11 years 6 months ago
Probabilistic reasoning in dynamic multiagent systems
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
Xiangdong An, Yang Xiang, Nick Cercone
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