Showing cs.AIShow all
3 papers · 1 filter
cs.AI2013
Compressed Constraints in Probabilistic Logic and Their Revision
Paul Snow
In probabilistic logic entailments, even moderate size problems can yield linear constraint systems with so many variables that exact methods are impractical. This difficulty can b…
cs.AI2013
Intuitions about Ordered Beliefs Leading to Probabilistic Models
Paul Snow
The general use of subjective probabilities to model belief has been justified using many axiomatic schemes. For example, ?consistent betting behavior' arguments are well-known. To…
cs.AI2013
Ignorance and the Expressiveness of Single- and Set-Valued Probability Models of Belief
Paul Snow
Over time, there have hen refinements in the way that probability distributions are used for representing beliefs. Models which rely on single probability distributions depict a co…