Uncertainty in Artificial Intelligence PDF
By:L.N. Kanal,J.F. Lemmer
Published on 2014-06-28 by Elsevier
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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Book which was published by Elsevier since 2014-06-28 have ISBNs, ISBN 13 Code is 9781483296524 and ISBN 10 Code is 1483296520
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