Explanation of Probabilistic Inference
An automated explanation facility for Bayesian conditioning aimed at improving user acceptance of probability-based decision support systems has been developed. The domain-independent facility is based on an information processing perspective on reasoning about conditional evidence that accounts both for biased and normative inferences. Experimental results indicate that the facility is both acceptable to naive users and effective in improving understanding.
Keywords: Automated Explanation Facility, Bayesian Conditioning
PDF Link: /papers/87/p387-elsaesser.pdf
AUTHOR = "Christopher Elsaesser
TITLE = "Explanation of Probabilistic Inference",
BOOKTITLE = "Uncertainty in Artificial Intelligence 3 Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1987",
PAGES = "387--400"