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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Editorial Reviews
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...an excellent volume that should have much appeal... -- IEEE Transactions on Systems, Man, and Cybernetics
...an excellent volume that should have much appeal... -- IEEE Transactions on Systems, Man, and Cybernetics
...the book is not only a unique and excellent source of reference material. The inclusion of a critique of the theories helps the reader to obtain a balanced view... -- IAPR Newsletter
The reading of this very valuable and useful book is highly recommended -- Artificial Intelligence Review
The reading of this very valuable and useful book is highly recommended -- Artificial Intelligence Review
...an excellent volume that should have much appeal... -- IEEE Transactions on Systems, Man, and Cybernetics
...the book is not only a unique and excellent source of reference material. The inclusion of a critique of the theories helps the reader to obtain a balanced view... -- IAPR Newsletter
The reading of this very valuable and useful book is highly recommended -- Artificial Intelligence Review
The reading of this very valuable and useful book is highly recommended -- Artificial Intelligence Review
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