no code implementations • 27 Mar 2013 • Benjamin N. Grosof
A considerable body of work in AI has been concerned with aggregating measures of confirmatory and disconfirmatory evidence for a common set of propositions.
no code implementations • 27 Mar 2013 • Benjamin N. Grosof
We propose an inequality paradigm for probabilistic reasoning based on a logic of upper and lower bounds on conditional probabilities.
no code implementations • 27 Mar 2013 • Benjamin N. Grosof
We start by defining an approach to non-monotonic probabilistic reasoning in terms of non-monotonic categorical (true-false) reasoning.
