The Design Inference

Eliminating Chance through Small Probabilities

AvWilliam A. Dembski

Häftad, Engelska, 2006

Del i serien Cambridge Studies in Probability, Induction and Decision Theory

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2006-01-09
Mått:153 x 229 x 13 mm
Vikt:365 g
Format:Häftad
Språk:Engelska
Serie:Cambridge Studies in Probability, Induction and Decision Theory
Antal sidor:264
Förlag:Cambridge University Press
ISBN:9780521678674

Utforska kategorier

Naturvetenskapens filosofi inom Naturvetenskap och teknik

Mer om författaren

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.

Recensioner i media

"...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

Innehållsförteckning

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.