Uncertainty in Artificial Intelligence (ISSN: Volume 4)
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- 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.
- Copyright:
- 1990
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 522 Pages
- ISBN-13:
- 9781483296524
- Related ISBNs:
- 9780444700582
- Publisher:
- Elsevier Science
- Date of Addition:
- 04/15/21
- Copyrighted By:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- L.N. Kanal
- Edited by:
- J.F. Lemmer