| 193 | -- | 194 | Tod S. Levitt. Guest editor s preface |
| 195 | -- | 209 | Henry E. Kyburg Jr.. Higher order probabilities and intervals |
| 211 | -- | 216 | Judea Pearl. On probability intervals |
| 217 | -- | 232 | Tod S. Levitt. Choosing uncertainty representations in artificial intelligence |
| 233 | -- | 246 | Laveen N. Kanal, Donald Perlis. Uniform accountability for multiple modes of reasoning |
| 247 | -- | 302 | Eric Horvitz, John S. Breese, Max Henrion. Decision theory in expert systems and artificial intelligenc |
| 303 | -- | 326 | Paul R. Cohen, David S. Day. The centrality of autonomous agents in theories of action under uncertainty |
| 327 | -- | 328 | Thomas O. Binford. Bayesian inference in model-based machine vision |
| 327 | -- | 0 | John B. Bacon. An interesting uncertainty-based combinatoric problem in spare parts forecasting: The FRED system |
| 328 | -- | 0 | Paul K. Black. Is shafer general bayes? |
| 328 | -- | 329 | Piero P. Bonissone. Using T-norm-based uncertainty calculi in a naval situation assessment application |
| 328 | -- | 0 | Gautam Biswas, Tejwansh S. Anand. Using the Dempster-shafer scheme in a diagnostic expert system shell |
| 329 | -- | 0 | Lashon B. Booker, Naveen Hota, Gavin Hemphill. Implementing a bayesian scheme for revising belief commitments |
| 329 | -- | 330 | Jack S. Breese. Integrating logical and probabilistic reasoning for decision making |
| 330 | -- | 331 | Rich Caruana. The automatic training of rule bases that use numerical uncertainty representations |
| 330 | -- | 0 | Wray L. Buntine. Decision tree induction systems: A Bayesian analysis |
| 331 | -- | 0 | Yizong Cheng. A study of associative evidential reasoning |
| 331 | -- | 0 | Homer L. Chin, Gregory F. Cooper. Stochastic simulation of Bayesian belief networks |
| 332 | -- | 0 | Stephen L. Chiu, Masaki Togai. Compiling fuzzy logic control rules to hardware implementations |
| 332 | -- | 0 | Paul R. Cohen. Modifiable combining functions |
| 332 | -- | 333 | Paul R. Cohen. Steps toward programs that manage uncertainty |
| 333 | -- | 0 | Gregory F. Cooper. An algorithm for computing probabilistic propositions |
| 333 | -- | 334 | Norman C. Dalkey. The inductive logic of information systems |
| 333 | -- | 0 | Bruce D Ambrosio. Combining symbolic and numeric approaches to uncertainty management |
| 334 | -- | 0 | Chris Elsaesser. Explanation of probabilistic inference for decision support systems |
| 334 | -- | 0 | Stephen I. Gallant. Automated generation of connectionist expert systems for problems involving noise and redundancy |
| 334 | -- | 335 | I. R. Goodman. A measure-free approach to conditioning |
| 335 | -- | 0 | Peter Haddawy, Alan M. Frisch. Convergent deduction for probabilistic logic |
| 335 | -- | 336 | Gregory D. Hager, Max Mintz. Estimation procedures for robust sensor control |
| 336 | -- | 0 | David Heckerman, Holly Brügge Jimison. A perspective on confidence and its use in focusing attention during knowledge acquisition |
| 336 | -- | 0 | Steve Hanks. Temporal reasoning about uncertain worlds |
| 337 | -- | 0 | Michael C. Higgins. NAIVE: A method for representing uncertainty and temporal relationships in an automated reasoner |
| 337 | -- | 0 | Max Henrion. Practical issues in constructing a Bayes belief network |
| 337 | -- | 338 | Eric Horvitz. Reasoning about beliefs and actions under computational resource constraints |
| 338 | -- | 0 | Daniel Hunter. Dempster-shafer versus probabilistic logic |
| 338 | -- | 0 | Henry E. Kyburg Jr.. Higher order probabilities |
| 339 | -- | 0 | Henry E. Kyburg Jr.. Objective probability |
| 339 | -- | 340 | Mary McLeish. Nilson s probabilistic entailment extended to Dempster-Shafer theory |
| 339 | -- | 0 | Ze-Nian Li. Comparisons of reasoning mechanisms for computer vision |
| 339 | -- | 0 | Kathryn Blackmond. Belief in belief functions: An examination of Shafer s canonical examples |
| 340 | -- | 341 | Eric Neufeld, David Poole. Towards solving the multiple extension problem: Combining defaults and probabilities |
| 341 | -- | 0 | Judea Pearl. Do we need higher-order probabilities, and, if so, what do they mean? |
| 341 | -- | 0 | George Rebane, Judea Pearl. The recovery of causal poly-trees from statistical data |
| 342 | -- | 0 | Ross D. Shachter. Efficient inference on generalized fault diagrams |
| 342 | -- | 0 | Matthew Self, Peter Cheeseman. Bayesian prediction for artificial intelligence |
| 342 | -- | 0 | Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert. A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator |
| 343 | -- | 0 | Spencer Star. Theory-based inductive learning: An integration of symbolic and quantitative methods |
| 343 | -- | 0 | Thomas B. Slack. Advantages and a limitation of using LEG nets in a real-time problem |
| 343 | -- | 344 | Richard M. Tong, Lee A. Appelbaum. Problem structure and evidential reasoning |
| 344 | -- | 0 | Silvio Ursic. Coefficients of relation for probabilistic reasoning |
| 344 | -- | 345 | Michael P. Wellman. The role of calculi in uncertain reasoning |
| 345 | -- | 0 | Ben P. Wise. The role of tuning uncertain inference systems |
| 345 | -- | 346 | Ben P. Wise. Satisfaction of assumptions is a weak predictor of performance |
| 346 | -- | 0 | Lei Xu. Structuring causal tree models with continuous variables |
| 346 | -- | 347 | John Yen. Can evidence Be combined in the Dempster-shafer theory? |
| 346 | -- | 0 | John Yen. Implementing evidential reasoning in expert systems |
| 347 | -- | 0 | Mingchuan Zhang, Su-Shing Chen. Evidential reasoning in image understanding |