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» Probabilistic Assumption-Based Reasoning
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AAAI
2011
13 years 9 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
90
Voted
FLAIRS
2000
14 years 10 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, ...
FGCS
1992
107views more  FGCS 1992»
14 years 10 months ago
Logic Programming, Abduction and Probability
Probabilistic Horn abduction is a simple framework to combine probabilistic and logical reasoning into a coherent practical framework. The numbers can be consistently interpreted ...
David Poole
ICML
2010
IEEE
14 years 10 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
ECAI
1998
Springer
15 years 1 months ago
Nonmonotonic Reasoning in Probabilistics
In probabilistics, reasoning at optimum entropy (ME-reasoning) has proved to be a most sound and consistent method for inference. This paper investigates its properties in the fram...
Gabriele Kern-Isberner