The Design Inference - E-book - ePub

Edition en anglais

William A. Dembski

,

Winston Ewert

Note moyenne 
 William A. Dembski et  Winston Ewert - The Design Inference.
A landmark of the intelligent design movement, The Design Inference revolutionized our understanding of how we detect intelligent causation. Originally... Lire la suite
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Résumé

A landmark of the intelligent design movement, The Design Inference revolutionized our understanding of how we detect intelligent causation. Originally published twenty-five years ago, it has now been revised and expanded into a second edition that greatly sharpens its exploration of design inferences. This new edition tackles questions about design left unanswered by David Hume and Charles Darwin, navigating the intricate nexus of chance, probability, and design, and thereby offering a novel lens for understanding the world.
Using modern concepts of probability and information, it exposes the inadequacy of undirected causes in scientific inquiry. It lays out how we infer design via events that are both improbable and specified. Amid controversial applications to biology, it makes a compelling case for intelligent design, challenging the prevalent neo-Darwinian evolutionary narrative. Dembski and Ewert have written a groundbreaking work that doesn't merely comment on contemporary scientific discourse but fundamentally transforms it.

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À propos des auteurs

An influential mathematician and philosopher, William A. Dembski is a founding Senior Fellow with Discovery Institute's Center for Science and Culture. He earned doctorates at the University of Illinois at Chicago in philosophy and the University of Chicago in mathematics. The author or editor of over twenty-five books, he has published in the peer-reviewed philosophy, biology, mathematics, and engineering literature. Winston Ewert is a software engineer and intelligent design researcher.
He received his PhD from Baylor University in electrical and computer engineering. He specializes in computer simulations of evolution, genomic design patterns, and information theory. A Google alum, he is a Senior Fellow of the Bradley Center for Natural and Artificial Intelligence at Discovery Institute.

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