176 citations · 538 across the 16 of their papers we have counts for
16 papers
Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning
Max Henrion, Marek J. Druzdzel
Comprehensible explanations of probabilistic reasoning are a prerequisite for wider acceptance of Bayesian methods in expert systems and decision support systems. A study of human…
Intercausal Reasoning with Uninstantiated Ancestor Nodes
Marek J. Druzdzel, Max Henrion
Intercausal reasoning is a common inference pattern involving probabilistic dependence of causes of an observed common effect. The sign of this dependence is captured by a qualitat…
Causality in Bayesian Belief Networks
Marek J. Druzdzel, Herbert A. Simon
We address the problem of causal interpretation of the graphical structure of Bayesian belief networks (BBNs). We review the concept of causality explicated in the domain of struct…
Some Properties of Joint Probability Distributions
Marek J. Druzdzel
Several Artificial Intelligence schemes for reasoning under uncertainty explore either explicitly or implicitly asymmetries among probabilities of various states of their uncertain…
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information
Marek J. Druzdzel, Linda C. van der Gaag
Although the usefulness of belief networks for reasoning under uncertainty is widely accepted, obtaining numerical probabilities that they require is still perceived a major obstac…
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks
Yan Lin, Marek J. Druzdzel
This paper introduces a computational framework for reasoning in Bayesian belief networks that derives significant advantages from focused inference and relevance reasoning. This f…