2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 2 cited
Explanation of Probabilistic Inference for Decision Support Systems
Christopher Elsaesser
An automated explanation facility for Bayesian conditioning aimed at improving user acceptance of probability-based decision support systems has been developed. The domain-independ…
cs.AI2013★ 1 cited
How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates
Christopher Elsaesser, Max Henrion
Bayesian inference systems should be able to explain their reasoning to users, translating from numerical to natural language. Previous empirical work has investigated the correspo…
cs.AI2013
Constructing Belief Networks to Evaluate Plans
Paul E. Lehner, Christopher Elsaesser, Scott A. Musman
This paper examines the problem of constructing belief networks to evaluate plans produced by an knowledge-based planner. Techniques are presented for handling various types of com…