The design inference : eliminating chance through small probabilities / William A. Dembski. [print]

By:

Dembski, William A, 1960- [Author]

Material type: Text

TextSeries: Cambridge studies in probability, induction, and decision theoryPublication details: Cambridge ; New York : Cambridge University Press, (c)2005.Edition: first pbk. editionDescription: xvii, 243 pages : illustrations ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780521678674

Subject(s):

LOC classification:

QA279
QA279.D375.D475 2005

Available additional physical forms:

Contents:

Overview of the design inference -- Probability theory -- Complexity theory -- Specification -- Small probability.

Subject: The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians. --from publisher description

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Circulating Book (checkout times vary with patron status)	G. Allen Fleece Library CIRCULATING COLLECTION	Non-fiction	QA279.D455 2005 (Browse shelf(Opens below))	Available		31923001492145

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Introduction -- Overview of the design inference -- Probability theory -- Complexity theory -- Specification -- Small probability.

The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians. --from publisher description

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