The Lumi ere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled in Lumi ere research, including (1) the construction of Bayesian… (More)
You have just finished typing that big report into your word processor. It is formatted correctly and looks beautiful on the screen. You hit print, go to the printer—and nothing is there. Your try again—still nothing. The report needs to go out today. What do you do?
We develop a series of approximations for decision-theoretic troubleshooting under uncertainty. Our approach generates troubleshooting plans in the face of uncertainty in the relationships among components and device status, observations, as well as the aaect of actions on device status. Included in our approach is a Bayesian-network representation of these… (More)