9780195064650-0195064658-Experts in Uncertainty: Opinion and Subjective Probability in Science (Environmental Ethics and Science Policy Series)

Experts in Uncertainty: Opinion and Subjective Probability in Science (Environmental Ethics and Science Policy Series)

ISBN-13: 9780195064650
ISBN-10: 0195064658
Edition: Illustrated
Author: Cooke, Roger M.
Publication date: 1991
Publisher: Oxford University Press
Format: Hardcover 336 pages
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Book details

ISBN-13: 9780195064650
ISBN-10: 0195064658
Edition: Illustrated
Author: Cooke, Roger M.
Publication date: 1991
Publisher: Oxford University Press
Format: Hardcover 336 pages

Summary

Acknowledged authors Cooke, Roger M. wrote Experts in Uncertainty: Opinion and Subjective Probability in Science (Environmental Ethics and Science Policy Series) comprising 336 pages back in 1991. Textbook and eTextbook are published under ISBN 0195064658 and 9780195064650. Since then Experts in Uncertainty: Opinion and Subjective Probability in Science (Environmental Ethics and Science Policy Series) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

This book is an extensive survey and critical examination of the literature on the use of expert opinion in scientific inquiry and policy making. The elicitation, representation, and use of expert opinion is increasingly important for two reasons: advancing technology leads to more and more complex decision problems, and technologists are turning in greater numbers to "expert systems" and other similar artifacts of artificial intelligence. Cooke here considers how expert opinion is being used today, how an expert's uncertainty is or should be represented, how people do or should reason with uncertainty, how the quality and usefulness of expert opinion can be assessed, and how the views of several experts might be combined. He argues for the importance of developing practical models with a transparent mathematic foundation for the use of expert opinion in science, and presents three tested models, termed "classical," "Bayesian," and "psychological scaling." Detailed case studies illustrate how they can be applied to a diversity of real problems in engineering and planning.

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