The Design Inference(2nd ed.) Eliminating Chance through Small Probabilities by William A. Dembski, WinstonEwert Paperback, 583 Pages, Published 2023 by Discovery Institute ISBN-13: 978-1-63712-034-7, ISBN: 1-63712-034-6
"A groundbreaking work on the scientific basis of detecting intelligent design in nature."
The Design Inference Eliminating Chance through Small Probabilities by William A. Dembski, WinstonEwert Hardcover, Published 2023 by Discovery Institute ISBN-13: 978-1-63712-033-0, ISBN: 1-63712-033-8
"The debate about biological origins continues to be hotly contested within the Christian church. Prominent organizations such as Biologos (USA) and Faraday Institute (UK) insist that Christians must yield to an unassailable scientific consensus in favor of contemporary evolutionary theory and modify traditional biblical ideas about the creation of life accordingly. They promote a view known as "theistic evolution" or "evolutionary creat ..."
"This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory."--Publisher's website."
"Winston Ewert, William A. Dembski, and Robert J. Marks II, “Conservation of
information in relative search performance.” Proceedings of the 2013 IEEE 45th
... readers are referred to Duda op. cit. C.A. Jensen, R.D. Reed ... Later editions of
the book were also published. Ibid. R.J. Marks II, “CIFEr: Exchange ... Russell D.
Reed, and Robert J. Marks, Neural Smithing: Supervised Learning in
Feedforward Artificial Neural Networks (MIT ..."
"Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the a ..."
"Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the a ..."