Synopsis
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.
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À propos de l'auteur
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 (Cambridge Studies in Probability, Induction and Decision Theory)
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The Design Inference: Eliminating Chance Through Small Probabilities
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Cambridge University Press, 1998
ISBN 10 : 0521623871
ISBN 13 : 9780521623872
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The Design Inference: Eliminating Chance Through Small Probabilities
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Cambridge University Press, 1998
ISBN 10 : 0521623871
ISBN 13 : 9780521623872
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The 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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Hardcover. Etat : Very Good. The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de réf. du vendeur 7719-9780521623872
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The Design Inference: Eliminating Chance through Small Probabilities
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Etat : Very Good. 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, notes, references. BIC Classification: HPL; PDA. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 16. Weight in Grams: 525. Good clean copy with minor shelfwear. DJ has some minor nicks and tears, remains very good. 1998. hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur KSG0032675
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The Design Inference: Eliminating Chance through Small Probabilities
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ISBN 10 : 0521623871
ISBN 13 : 9780521623872
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Etat : Very Good. 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, notes, references. BIC Classification: HPL; PDA. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 16. Weight in Grams: 525. Good clean copy with minor shelfwear. DJ has some minor nicks and tears, remains very good. 1998. hardcover. . . . . N° de réf. du vendeur KSG0032675
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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision T
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