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INTRODUCTION TO EVOLUTIONARY INFORMATICS
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.
- GenresEvolutionMathematics
332 pages, Hardcover
Published May 1, 2017
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About the author
Robert J. Marks II
11 books4 followersRobert J. Marks II, Ph.D., is Distinguished Professor of Engineering in the Department of Engineering at Baylor University. He was attracted to Baylor University after 26 years at the University of Washington in Seattle by Baylor's visionary 2012 initiative.
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 The Optical Society of America. His consulting activities include Microsoft Corporation, Pacific Gas & Electric, and Boeing Computer Services. His research has been funded by organizations such as the National Science Foundation, General Electric, Southern California Edison, EPRI, the Air Force Office of Scientific Research, the Office of Naval Research, the Whitaker Foundation, Boeing Defense, the National Institutes of Health, The Jet Propulsion Lab, Army Research Office, and NASA.
Professor Marks 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, for 2007, 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, is an inductee into the Texas Tech Electrical Engineering Academy, and in 2007 was awarded the Banned Item of the Year from the Discovery Institute. Dr. Marks served for 17 years as the faculty advisor to the University of Washington's chapter of Campus Crusade for Christ. In 2010, he was listed by CollegeCrunch.com as one of "The 20 Most Brilliant Christian Professors".
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 The Optical Society of America. His consulting activities include Microsoft Corporation, Pacific Gas & Electric, and Boeing Computer Services. His research has been funded by organizations such as the National Science Foundation, General Electric, Southern California Edison, EPRI, the Air Force Office of Scientific Research, the Office of Naval Research, the Whitaker Foundation, Boeing Defense, the National Institutes of Health, The Jet Propulsion Lab, Army Research Office, and NASA.
Professor Marks 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, for 2007, 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, is an inductee into the Texas Tech Electrical Engineering Academy, and in 2007 was awarded the Banned Item of the Year from the Discovery Institute. Dr. Marks served for 17 years as the faculty advisor to the University of Washington's chapter of Campus Crusade for Christ. In 2010, he was listed by CollegeCrunch.com as one of "The 20 Most Brilliant Christian Professors".
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February 20, 2018Three really smart (and humble - they say so!) computer whizzes demonstrate that Conservation of Information (COI) holds true:
"[T]he fundamentals of evolutionary models offered by Darwinists and those used by engineers and computer scientists are the same. There is always a teleological goal imposed by an omnipotent programmer, a fitness associated with the goal, a source of active information (e.g. an oracle), and stochastic updates." (p. 187)
In other words, computer models touted to show that Darwinian evolution has been demonstrated programatically, actually show no such thing. Rather, every such system produced thus far has been frontloaded with information and, well, intelligently designed to produce an intended result.
"[T]he fundamentals of evolutionary models offered by Darwinists and those used by engineers and computer scientists are the same. There is always a teleological goal imposed by an omnipotent programmer, a fitness associated with the goal, a source of active information (e.g. an oracle), and stochastic updates." (p. 187)
In other words, computer models touted to show that Darwinian evolution has been demonstrated programatically, actually show no such thing. Rather, every such system produced thus far has been frontloaded with information and, well, intelligently designed to produce an intended result.
April 18, 2020
Marks, Dembski, and Ewert have written a book summarizing in a very accesible way all of their research at the Evolutionary Informatics Lab for the last decade. Since Darwinists have been claiming for too long that evolutionary computation proves the Darwinian mechanism in biology, the authors prove that every time that an interesting search algorithm reaches its target, it is because the programmer induced the program to do so. They trace back the sources of information in the most famous evolutionary algorithms exposing where and when this happens, revealing thus that every time a program reaches a low-probability target, it is because of the very skilled programmer behind it. I.e., because the program was designed to fulfill its goal.
Displaying 1 - 2 of 2 reviews