Uncertainty in Artificial Intelligence: v.1 (Machine Intelligence & Pattern Recognition) - Hardcover
Synopsis
How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.
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Uncertainty in Artificial Intelligence (Volume 4 of Machine Intelligence and Pattern Recognition) (Vol 1)
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Uncertainty in Artificial Intelligence: v 4 (Machine Intelligence and Pattern Recognition)
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Uncertainty in Artificial Intelligence
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Elsevier Science & Technology, 1986
ISBN 10: 0444700587
ISBN 13: 9780444700582
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