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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory) - Softcover
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.
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About the Author
William A. Dembski is Senior Fellow at the Discovery Institute's Center for Science and Culture in Seattle, and Carl F. H. Henry Professor of Theology and Science, Southern Seminary, Louisville.
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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)
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The Design Inference: Eliminating Chance Through Small Probabilities
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Design Inference : Eliminating Chance Through Small Probabilities
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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)
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Design Inference : Eliminating Chance Through Small Probabilities
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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)
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Condition: New. This 1998 book breathes new life into classical design arguments, showing how incomplete undirected causes are for science. Series Editor(s): Skyrms, Brian; Adams, Ernest W.; Binmore, Ken; Butterfield, Jeremy; Diaconis, Persi; Harper, William L.; Harsanyi, John; Jeffrey, Richard C.; Spohn, Wolfgang. Series: Cambridge Studies in Probability, Induction and Decision Theory. Num Pages: 264 pages, black & white illustrations. Category: (P) Professional & Vocational. Dimension: 225 x 155 x 17. Weight in Grams: 380. . 2006. Illustrated. paperback. . . . . Seller Inventory # V9780521678674
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