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The Design Inference: Eliminating Chance through Small Probabilities by Dembski

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Book Title
The Design Inference: Eliminating Chance through Small Probabilit
Publication Date
1998-09-13
ISBN
9780521623872

Über dieses Produkt

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521623871
ISBN-13
9780521623872
eBay Product ID (ePID)
600191

Product Key Features

Number of Pages
264 Pages
Publication Name
Design Inference : Eliminating Chance Through Small Probabilities
Language
English
Subject
Philosophy & Social Aspects, Probability & Statistics / General, Research & Methodology
Publication Year
1998
Type
Textbook
Author
William A. Dembski
Subject Area
Mathematics, Science
Series
Cambridge Studies in Probability, Induction and Decision Theory Ser.
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
18.4 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
98-003020
Dewey Edition
21
Reviews
"...quite readable. Those who have no knowledge of the mathematics of probability may be put off, but in fact the level of mathematics and symbolic logic employed is not very difficult...The main arguments...are given in ordinary prose, then translated into symbols...Dembski has made a real advance in probability and information theory..." Books & Culture, "...generally careful and precise, often persuasive, and at times surprisingly philosophically sensitive." Ethics, Dembski has produced an astonishing work. The Design InferenceR^ will no doubt become the cornerstone of the intelligent design movement. A marked and dog-eared copy of The Design InferenceR^ deserves a place on your shel not just for its clear historical significance, but also to allow yourself a place in the momentous discussion to come. Philosophia Christi|9780521623872|
TitleLeading
The
Illustrated
Yes
Dewey Decimal
001.4/34
Table Of Content
Preface; Acknowledgments; 1. Introduction; 2. Overview of the design inference; 3. Probability theory; 4. Complexity theory; 5. Specification; 6. Small probability; 7. Epilogue; Notes; References.
Synopsis
How can we identify events due to intelligent causes and distinguish them from events due to undirected natural causes? If we lack a causal theory how can we determine whether an intelligent cause acted? This book presents a reliable method for detecting intelligent causes: the design inference. 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., Breathes new life into classical design arguments, showing how incomplete undirected causes are for science., This challenging and provocative 1998 book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, by other philosophers concerned with epistemology and logic, probability and complexity theorists, and by statisticians., The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified (i.e. conforms to an independently given pattern) undirected natural causes lose their explanatory power. 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 1998 book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It 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.
LC Classification Number
QA279 .D455 1998

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