4. UAI 1988: Minneapolis, MN, USA
Ross D. Shachter, Tod S. Levitt, Laveen N. Kanal, John F. Lemmer (Eds.):
UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, Minneapolis, MN, USA, July 10-12, 1988.
North-Holland 1990, ISBN 0-444-88650-8 
- Dan Geiger, Judea Pearl:
On the logic of causal models.
3-14
- Bruce D'Ambrosio:
Process, structure and modularity in reasoning with uncertainty.
15-26
- Thomas L. Dean, Keiji Kanazawa:
Probabilistic causal reasoning.
27-42
- Spencer Star:
Generating decision structures and causal explanations for decision making.
43-58
- John S. Breese, Michael R. Fehling:
Control of problem solving: principles and architecture.
59-68
- Thomas Verma, Judea Pearl:
Causal networks: semantics and expressiveness.
69-78
- Pramod Jain, Alice M. Agogino:
Stochastic sensitivity analysis using fuzzy influence diagrams.
79-92
- Ross D. Shachter:
A linear approximation method for probabilistic inference.
93-104
- Wilson X. Wen:
Minimum cross entropy reasoning in recursive causal networks.
105-120
- Eric Neufeld, David L. Poole, Romas Aleliunas:
Probabilsitic semantics and defaults.
121-132
- Peter Haddawy, Alan M. Frisch:
Modal logics of higher-order probability.
133-148
- Wolfgang Spohn:
A general non-probabilistic theory of inductive reasoning.
149-158
- Henry E. Kyburg Jr.:
Epistemological relevance and statistical knowledge.
159-168
- Prakash P. Shenoy, Glenn Shafer:
Axioms for probability and belief-function proagation.
169-198
- Romas Aleliunas:
A summary of a new normative theory of probabilistic logic.
199-206
- Paul K. Black, Kathryn B. Laskey:
Hierarchical evidence and belief functions.
207-216
- Fahiem Bacchus:
On probability distributions over possible worlds.
217-226
- John Yen:
A framework of fuzzy evidential reasoning.
227-240
- Daniel Hunter:
Parallel belief revision.
241-252
- Ronald Prescott Loui:
Evidential reasoning compared in a network usage prediction testbed: preliminary report.
253-270
- Jayant Kalagnanam, Max Henrion:
A comparison of decision alaysis and expert rules for sequential diagnosis.
271-282
- David Heckerman:
An empirical comparison of three inference methods.
283-302
- Didier Dubois, Henri Prade:
Modeling uncertain and vague knowledge in possibility and evidence theories.
303-318
- Henry E. Kyburg Jr.:
Probabilistic inference and non-monotonic inference.
319-326
- Suk Wah Kwok, Chris Carter:
Multiple decision trees.
327-338
- R. Martin Chavez, Gregory F. Cooper:
KNET: integrating hypermedia and normative bayesian modeling.
339-350
- Holly Brügge Jimison:
Generating explanations of decision models based on an augmented representation of uncertainty.
351-368
- Matthew Cecile, Mary McLeish, P. Pascoe, W. Taylor:
Induction and uncertainty management techniques applied to veterinary medical diagnosis.
369-382
- Alexander S. Yeh:
Predicting the likely behaviours of continuous nonlinear systems in equilibrium.
383-396
- John Mark Agosta:
The structure of bayes networks for visual recognition.
397-406
- Tod S. Levitt, Thomas O. Binford, Gil J. Ettinger:
Utility-based control for computer vision.
407-422
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