No Free Lunch: Why Specified Complexity Cannot be Purchased Without IntelligenceRowman & Littlefield, 2002 - Всего страниц: 404 Darwin's greatest accomplishment was to show how life might be explained as the result of natural selection. But does Darwin's theory mean that life was unintended? William A. Dembski argues that it does not. In this book Dembski extends his theory of intelligent design. Building on his earlier work in The Design Inference (Cambridge, 1998), he defends that life must be the product of intelligent design. Critics of Dembski's work have argued that evolutionary algorithms show that life can be explained apart from intelligence. But by employing powerful recent results from the No Free Lunch Theory, Dembski addresses and decisively refutes such claims. As the leading proponent of intelligent design, Dembski reveals a designer capable of originating the complexity and specificity found throughout the cosmos. Scientists and theologians alike will find this book of interest as it brings the question of creation firmly into the realm of scientific debate. |
Содержание
Specification | 6 |
6 | 22 |
7 | 28 |
9 | 34 |
Another Way to Detect Design? | 45 |
3 | 55 |
5 | 62 |
Specified Complexity as Information | 125 |
Evolutionary Algorithms | 179 |
The Emergence of Irreducibly Complex Systems | 239 |
Design as a Scientific Research Program | 311 |
381 | |
About the Author 404 | |
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No Free Lunch: Why Specified Complexity Cannot Be Purchased Without Intelligence William A. Dembski Ограниченный просмотр - 2006 |
Часто встречающиеся слова и выражения
actual Alice argue argument bacterial flagellum Behe Behe's biological systems blind search Caputo causal specificity chance hypotheses chapter claim class of possibilities complex specified information complexity-specification criterion consider Darwin Darwinian mechanism Darwinists Dawkins Dawkins's Dembski Design Inference design theorists detecting design eliminate chance event evidence evolution evolutionary algorithm exhibit specified complexity explain Explanatory Filter Fisher's approach fitness function fitness landscapes flagellum follows Free Lunch function f given identify improbable instance intelligent agent intelligent causes intelligent design irreducible complexity irreducibly complex system Kauffman likelihood approach logical mathematical measure mousetrap natural causes natural laws natural selection Nonetheless object optimization organisms original pattern phase space physical probabilistic resources probability distribution problem proteins quantum mechanics question random reference class rejection function rejection region relevant requires Richard Dawkins sample scientific specified complexity statistical target sequence tion unembodied designer universal probability bound University Press What's York Z-factors