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Informationen zum Autor William A. Dembski is associate research professor in the conceptual foundations of science at Baylor University and senior fellow with Discovery Institute's Center for the Renewal of Science and Culture in Seattle. He lectures worldwide on intelligent design and his work has been featured/debated in The New York Times and Time Magazine, and he has appeared on the BBC, PBS, CNN, Fox News, Nightline, and The Daily Show. He is the author of 20 books and numerous peer-reviewed articles. Klappentext 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. 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. The paperback is updated with a new Preface by the author. Zusammenfassung The evolutionary algorithms of the No Free Lunch Theory support modern beliefs introduced by Darwin and criticize Dembski's stance in his earlier work. In "No Free Lunch" Dembski addresses and refutes such claims and defends that life must be the product of intelligent design. Inhaltsverzeichnis Part 1 List of Illustrations Part 2 Preface Part 3 The Third Mode of Explanation Chapter 4 Necessity, Chance, and Design Chapter 5 Rehabilitating Design Chapter 6 The Complexity-Specification Criterion Chapter 7 Specification Chapter 8 Probabilistic Resources Chapter 9 False Negatives and False Positives Chapter 10 Why the Criterion Works Chapter 11 The Darwinian Challenge to Design Chapter 12 The Constraning of Contingency Chapter 13 The Darwinian Extrapolation Part 14 Another Way to Detect Design? Chapter 15 Fisher's Approach to Eliminating Chance Chapter 16 Generalizing Fisher's Approach Chapter 17 Case Study: Nicholas Caputo Chapter 18 Case Study: The Comprehensibility of Bit Strings Chapter 19 Detachability Chapter 20 Sweeping the Field of Chance Hypotheses Chapter 21 Justifying the Generalization Chapter 22 The Inflation of Probabilistic Resources Chapter 23 Design by Comparison Chapter 24 Design by Elimination Part 25 Specified Complexity as Information Chapter 26 Information Chapter 27 Syntactic, Statistical, and Algorithmic Information Chapter 28 Information in Context Chapter 29 Conceptual and Physical Information Chapter 30 Complex Specified Information Chapter 31 Semantic Information Chapter 32 Biological Information Chapter 33 The Origin of Comlex Specified Information Chapter 34 The Law of Conservation of Information Chapter 35 A Fourth Law of Thermodynamics? Part 36 Evolutionary Algorithms Chapter 37 METHINKS IT IS LIKE A WEASEL Chapter 38 Optimization Chapter 39 Statement of the Problem Chapter 40 Choosing the Right Fitness Function Chapter 41 Blind Search Chapter 42 The No Free Lunch Theorems Chapter 43 The Displacement Problem Chapter 44 Darwinian Evolution in Nature Chapter 45 Following the Information Trail Chapter 46 Coevolving Fitness Landscapes Part 47 The Emergence of Irreducibly Complex Systems Chapter 48 The Casual Specificity Problem Chapter 49 The Challenge of Irreducible Complexity Chapter 50 Scaffolding and Roman Arches Chapter 51 Co-optation, Patchwork, and Bricolage Chapter 52 Incremental Indispensability Chapter 53 Reducible Complexity Chapter 54 Miscellaneous Objections Chapter 55 The Logic of Invariants Chapter 56 Fine-Tuning Irreducible Complexity Chapter 57 Doing the Calculation Part 58 Design as a Scientific Research Program Chapter 59 Outline of a Positive Research Pr...
