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Qualitative Methods for Reasoning under Uncertainty
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Qualitative Methods for Reasoning under Uncertainty Hardcover - 2001

by Simon Parsons


From the publisher

In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence.

According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem. This approach leads naturally to the use of several different methods in the solution of a single problem and to the complexity of integrating the results problem to which qualitative methods provide a solution.

First line

The discipline of artificial intelligence has as its aim the construction of computer-based systems that exhibit intelligence.

Details

  • Title Qualitative Methods for Reasoning under Uncertainty
  • Author Simon Parsons
  • Binding Hardcover
  • Edition N/A
  • Pages 526
  • Language ENG
  • Publisher The MIT Press, Cambridge, Massachusetts, U.S.A.
  • Date August 1, 2001
  • ISBN 9780262161688

About the author

Simon Parsons is a Associate Professor in the Department of Computer and Information Science at Brooklyn College and the editor of the journal Knowledge Engineering Review.

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Qualitative Methods for Reasoning Under Uncertainty

Qualitative Methods for Reasoning Under Uncertainty

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Qualitative Methods for Reasoning Under Uncertainty
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Qualitative Methods for Reasoning Under Uncertainty

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Qualitative Methods for Reasoning under Uncertainty
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Qualitative Methods for Reasoning under Uncertainty

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QUALITATIVE METHODS FOR REASONING UNDER UNCERTAINTY

QUALITATIVE METHODS FOR REASONING UNDER UNCERTAINTY

by Parsons, Simon

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Cambridge, MA, United States: The MIT Press, 2001. xviii, + 506pp., b/white figures intext. Book clean, square. Spine firm, silver title there-on. Plain boards undamaged. Leaves clean and unmarked. Illustrated dustjacket negligibly edge-creased only. From the jacket flap: "In this account of qualitative methods for reasoning under uncertainty, 'uncertainty' refers to various types of imperfect information . . . The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence . . . " Includes Glossary, Refs., and Index. Book weight approx. 1.03 KG. *Customers outside Australia - This item will incur extra postage charges as it weighs over 1KG. Please email for quote. 8vo - over 7¾" - 9¾" tall. First Edition. Hardcover and Dustjacket.… Read More
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QUALITATIVE METHODS FOR REASONING UNDER UNCERTAINTY

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Qualitative Methods for Reasoning under Uncertainty

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ISBN: 9780262161688
MIT Press Ltd | 10 September 2001
Hardback | 528 pages 
In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence.According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem.… Read More
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