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Introduction To Evolutionary Informatics Kindle Edition

by Robert J Marks Ii (Author), William A Dembski (Author), Winston Ewert (Author) Format: Kindle Edition

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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 authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information.This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.

Editorial Reviews

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An honest attempt to discuss what few people seem to realize is an important problem. Thought provoking! -- Gregory Chaitin "Professor, Federal University of Rio de Janeiro, Brazil"

Introduction to Evolutionary Informatics helps the non-expert reader grapple with a fundamental problem in science today: We cannot model information in the same way as we model matter and energy because there is no relationship between the metrics. As a result, much effort goes into attempting to explain information away. The authors show, using c -- Denyse O'Leary, Science Writer "Denyse O'Leary, Science Writer"

This is an important and much needed step forward in making powerful concepts available at an accessible level. -- Ide Trotter "Trotter Capital Management Inc., Founder of the Trotter Prize & Endowed Lecture Series on Information, Complexity and Inference (Texas A&M, USA)"

Darwinian pretensions notwithstanding, Marks, Dembski, and Ewert demonstrate rigorously and humorously that no unintelligent process can account for the wonders of life. -- Michael J Behe "Professor of Biological Sciences, Lehigh University, USA"

A very helpful book on this important issue of information. Information is the jewel of all science and engineering which is assumed but barely recognised in working systems. In this book Marks, Dembski and Ewert show the major principles in understanding what information is and show that it is always associated with design. -- Andy C McIntosh "Visiting Professor of Thermodynamics, School of Chemical and Process Engineering, University of Leeds, LEEDS, UK"

With penetrating brilliance, and with a masterful exercise of pedagogy and wit, the authors take on Chaitin's challenge, that Darwin's theory should be subjectable to a mathematical assessment and either pass or fail. Surveying over seven decades of development in algorithmics and information theory, they make a compelling case that it fails. -- Bijan Nemati "Jet Propulsion Laboratory, California Institute of Technology, USA"

Introduction to Evolutionary Informatics is a lucid, entertaining, even witty discussion of important themes in evolutionary computation, relating them to information theory. It's far more than that, however. It is an assessment of how things might have come to be the way they are, applying an appropriate scientific skepticism to the hypothesis tha -- Donald Wunsch "Distinguished Professor and Director of the Applied Computational Intelligence Lab, Missouri University of Science & Technology, USA"

Though somewhat difficult, Marks, Dembski and Ewert have done a masterful job of making the book accessible to the engaged and thoughtful layperson. I could not endorse this book more highly. -- J P Moreland "Distinguished Professor of Philosophy, Biola University, USA"

Evolution requires the origin of new information. In this book, information experts Bob Marks, Bill Dembski, and Winston Ewert provide a comprehensive introduction to the models underlying evolution and the science of design. The authors demonstrate clearly that all evolutionary models rely implicitly on information that comes from intelligent desi -- Jonathan Wells "Senior Fellow, Discovery Institute"

This is a fine summary of an extremely interesting body of work. It is clear, well-organized, and mathematically sophisticated without being tedious (so many books of this sort have it the other way around). It should be read with profit by biologists, computer scientists, and philosophers. -- David Berlinski "David Berlinski"

Product details

ASIN ‏ : ‎ B06XFSY5BZ
Publisher ‏ : ‎ World Scientific
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ February 27, 2017
Language ‏ : ‎ English
File size ‏ : ‎ 6.3 MB
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 330 pages
ISBN-13 ‏ : ‎ 978-9813142169
Page Flip ‏ : ‎ Enabled
Best Sellers Rank: #2,026,726 in Kindle Store (See Top 100 in Kindle Store)
- #133 in Computer Information Theory
- #219 in Information Theory
- #366 in Computer & Video Game Design
Customer Reviews:
25 ratings

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Robert J Marks II
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Robert J. Marks II, PhD, is a Distinguished Professor at Baylor University. He is also the Director of the Walter Bradley Center for Natural & Artificial Intelligence.
Marks is listed at TheBestSchools.com as one of the 50 most influential scientists alive today. Marks is the recipient of numerous professional awards, including a NASA Tech Brief Award and a best paper award from the American Brachytherapy Society for prostate cancer research. He is Fellow of both IEEE and Optica (formerly the Optical Society of America).
Marks was awarded Junior Membership in the Ohio Academy of Science at the age of eighteen. He was awarded the IEEE Outstanding Branch Councilor Award, The IEEE Centennial Medal, the IEEE Neural Networks Society Meritorious Service Award, the IEEE Circuits and Systems Society Golden Jubilee Award and the IEEE CIS Chapter of the IEEE Dallas Section Volunteer of the Year award. He was was named a Distinguished Young Alumnus of Rose-Hulman Institute of Technology and is an inductee into the Texas Tech Electrical Engineering Academy, While at the University of Washington, Marks served for 17 years as the faculty advisor to the University of Washington's chapter of CRU.and is an advisor for Ratio Christi at Baylor University. He describes himself as a John 3:16 Christian.
Marks was featured in the Ben Stein documentary Expelled: No Intelligence Allowed. The film document's the removal of Marks's web site from Baylor servers by the administration.
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Winston Ewert
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Winston Ewert is a software engineer and researcher with a passion for applying his skill as a computer scientist to uncovering the mysteries of life. He obtained a Bachelor's of Science in Computer Science degree at Trinity Western University, a Master of Science degree in Computer Science at Baylor University, and a Doctorate of Philosophy in Electrical and Computer Engineering at Baylor University. He works primarily in the field of intelligent design, exploring the implications of computer simulations of evolution, developing the theory of specified complexity, and understanding genomes as examples of sophisticated software.
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Jeff and Pam
OUTSTANDING BOOK!
Reviewed in the United States on December 22, 2017
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Having a Bachelors and Master’s degree in Computer Science, and being intrigued by the failures of Darwinian evolution, I truly found this to be my favorite book on Evolution. To have one book touch on two of my favorite topics was a rare find!

The information in this book is phenomenal. It baffles me to see so many logical, rational individuals refusing to give up on Darwinian evolution despite the overwhelming evidence against it.

OUTSTANDING BOOK.

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13 people found this helpful

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Robert Cronk
Great book
Reviewed in the United States on September 1, 2017
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I've been a software engineer for almost 40 years and I always had the feeling that there was something wrong with random mutation and natural selection creating complex systems. That doesn't work for writing software and so why would it work for DNA?

This book took my feelings about the subject and laid them out mathematically. Now it's much more clear where those feelings came from and why undirected evolutionary mechanisms can't work. Great book!

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19 people found this helpful

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K. B. Floyd
Powerful arguments, logically presented.
Reviewed in the United States on April 21, 2018
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I enjoyed this book immensely. The arguments are powerful and devistating for those that can appreciate them. Unfortunately only mathematicians and electrical engineers study information theory, and most biologists can't seem to grasp it's basic ideas, let alone it's profound implications. Darwin's hypothesis would have never gotten off the ground if we knew then what we know now.

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4 people found this helpful

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Bruce Searl
An essential book in the evolution design debate. Highly recommended!
Reviewed in the United States on July 29, 2019
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Excellent book. Does a great job of covering the various attempts to model evolution and why they don’t work , or if they appear to work, it’s only because information gets artificially added to the simulation by the developers.

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2 people found this helpful

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Kindle Customer
Thinly veiled "intelligent design" missive
Reviewed in the United States on August 11, 2019
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Sure, there's some information on Informatics in here. But there's also some very deceptive statements about agent-based evolutionary modeling (fortunately I came into this book with some experience there) and the more I read the clearer it became that this was meant as a primer on ID pseudoscience. Waving one's hands and calling something science does not make it so. Finding something not yet fully understood in its particulars and claiming the only explanation is a magic figure is not useful. It was only by discarding that attitude that humans were able to create the scientific method and move us rapidly forward into this age of technological marvels and scientific understanding. People should believe whatever they want. But applying those mythologies to science is nothing more than a way to shrug off tackling the hard work of discovery.

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17 people found this helpful

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John
Easier to Follow than I Expected
Reviewed in the United States on June 5, 2017
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This is much more easily understood than I expected. The math is very easy to follow. It's filling in a lot of gaps in my understanding of some very important aspects of Intelligent Design.

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15 people found this helpful

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daniel
great material
Reviewed in the United States on August 11, 2017
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Amazing read. Computer simulations that attempt to validate Evolution do exactly the opposite. All programs are programmed.

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5 people found this helpful

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Maverick York
Exactly
Reviewed in the United States on August 5, 2017
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Yup, Darwin was wrong, and so are all those who believe mutations can create information.

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DNA B
Someone should seriously extend this book.
Reviewed in Germany on July 9, 2025
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Basically this is their argument explained to computer scientists. If you ever wondered why Richard Dawkins example of an evolutionary algorithm that produces "Me thinks its like a weasel" is fraudulent at best (the phrase is in the source code) or at which places other demonstrations of evolution insert their information, well they goes through that list.

It should be extended to the whole AGI question: Neural Networks, which are basically a thin layer of differentiable optimization on top of a Monte Carlo SAT-solver are currently handled as the Panacea of intelligence.
The same arguments that they use against darwinian evolution also apply to those neural networks.
Where already a lot of engineering (aka information) is put in to have those models solve certain problem their unconstrained counterparts otherwise couldn't solve. (like Convolutions, invariances, equivariances, compositional constraints, regularization, ... )

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