4.5k citations · 5.6k across the 19 of their papers we have counts for
19 papers
Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (1993)
David Heckerman, E. Mamdani
This is the Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, which was held in Washington, DC, July 9-11, 1993
Probabilistic Interpretations for MYCIN's Certainty Factors
David Heckerman
This paper examines the quantities used by MYCIN to reason with uncertainty, called certainty factors. It is shown that the original definition of certainty factors is inconsistent…
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…
The Myth of Modularity in Rule-Based Systems
David Heckerman, Eric J. Horvitz
In this paper, we examine the concept of modularity, an often cited advantage of the ruled-based representation methodology. We argue that the notion of modularity consists of two…
The Role of Calculi in Uncertain Inference Systems
Michael P. Wellman, David Heckerman
Much of the controversy about methods for automated decision making has focused on specific calculi for combining beliefs or propagating uncertainty. We broaden the debate by (1) e…