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75 papers · 2 filters
Intelligent Probabilistic Inference
Ross D. Shachter
The analysis of practical probabilistic models on the computer demands a convenient representation for the available knowledge and an efficient algorithm to perform inference. An a…
Machine Generalization and Human Categorization: An Information-Theoretic View
James E. Corter, Mark A. Gluck
In designing an intelligent system that must be able to explain its reasoning to a human user, or to provide generalizations that the human user finds reasonable, it may be useful…
Evidential Confirmation as Transformed Probability
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. Claiming classical pro…
DAVID: Influence Diagram Processing System for the Macintosh
Ross D. Shachter
Influence diagrams are a directed graph representation for uncertainties as probabilities. The graph distinguishes between those variables which are under the control of a decision…
A Backwards View for Assessment
Ross D. Shachter, David Heckerman
Much artificial intelligence research focuses on the problem of deducing the validity of unobservable propositions or hypotheses from observable evidence.! Many of the knowledge re…
An Axiomatic Framework for Belief Updates
David Heckerman
In the 1940's, a physicist named Cox provided the first formal justification for the axioms of probability based on the subjective or Bayesian interpretation. He showed that if a m…