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The design inference : eliminating chance through small probabilities /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
1998.
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| Colección: | Cambridge studies in probability, induction, and decision theory.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Dembski, William A., |d 1960- | |
| 245 | 1 | 4 | |a The design inference : |b eliminating chance through small probabilities / |c William A. Dembski. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 1998. | ||
| 300 | |a 1 online resource (xvii, 243 pages) : |b illustrations. | ||
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| 490 | 1 | |a Cambridge studies in probability, induction, and decision theory | |
| 504 | |a Includes bibliographical references (pages 231-238) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a I. Introduction : Historical overview -- The man with the golden arm -- Intellectual property protection -- Forensic science and detection -- Data falsification in science -- Cryptography (and SETI) -- Randomness -- II. Overview of the design inference : The explanatory filter -- The logic of the inference -- Case study, the creation-evolution controversy -- From design to agency -- III. Probability theory : The probability of an event -- Events -- Background information -- Likelihood -- The best available estimate -- Axiomization of probability -- IV. Complexity theory : The complexity of a problem -- Problems and resources -- Difficulty and its estimation -- Axiomization of complexity -- Calibration through complexity bounds -- Information measures -- RMS measures -- Technical supplement on RMS measure -- V. SSpecification : Patterns -- The requisite precondition -- Detachability -- Specification defined -- Pyramids and presidents -- Information tucked within information -- Prediction -- Increasing the power of a complexity measure -- Caputo revisited -- Randomness revisited -- VI. Small probability : Probabilistic resources -- The generic chance elimination argument -- The magic number 1/2 -- Statistical signigcance testing -- Local and universal small probabilities -- The inflationary fallacy -- The law of small probability. | |
| 520 | |a 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. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Experimental design. | |
| 650 | 0 | |a Probabilities. | |
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| 650 | 6 | |a Plan d'expérience. | |
| 650 | 6 | |a Probabilités. | |
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| 776 | 0 | 8 | |i Print version: |a Dembski, William A., 1960- |t Design inference. |d Cambridge ; New York : Cambridge University Press, 1998 |w (DLC) 98003020 |
| 830 | 0 | |a Cambridge studies in probability, induction, and decision theory. | |
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