Get Free Ebook Introduction To Evolutionary Informatics

Get Free Ebook Introduction To Evolutionary Informatics

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Introduction To Evolutionary Informatics

Get Free Ebook Introduction To Evolutionary Informatics

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Product details

Paperback: 330 pages

Publisher: WSPC; 1 edition (May 1, 2017)

Language: English

ISBN-10: 9813142146

ISBN-13: 978-9813142145

Product Dimensions:

6 x 0.8 x 9 inches

Shipping Weight: 15.5 ounces (View shipping rates and policies)

Average Customer Review:

4.8 out of 5 stars

12 customer reviews

Amazon Best Sellers Rank:

#762,635 in Books (See Top 100 in Books)

Quoting Richard Dawkins: “Biology is the study of complicated things that give the appearance of having been designed for a purpose.” So we are supposed to believe that all the complex design found in the cell is a result of the of chance mutations that have been allowed to accumulate via natural selection; the survival of the fittest.The video Unlocking the Mystery of Life was released in 2003 and in the concluding remarks, Stephen Meyer claimed that information is now of primary importance in understanding all of life. Quoting Norbert Wiener from the 1940’s: “Information is information, neither matter or energy”.Marks, Dembski and Ewert, the authors of Introduction to Evolutionary Informatics have been the pioneers in formulating and developing the foundations of the science of evolutionary informatics. The results of their research show that life did not and could not have happened by chance.For most of us, including most of the biologists, this extension of science into information is shaking the foundations of science. The fine tuning of the universe, the beginning of life, the first cell and the ordering of the bases along the DNA are all examples of how important information has become in the last 50 years. The title of this book informs us that Evolutionary Informatics is now the heart of the Darwin vs Design controversy.All biologist, especially the evolutionist, need to read this book since evolutionary informatics is critical for understanding how random mutations and natural selection can not be the basis of life.For me, evolutionary informatics is the coup de grâce – a final blow or shot given to kill a wounded person or animal. In this case the wounded Darwinian evolution.The work of Marks, Dembski and Ewert at their Evolutionary Informatics Lab is at the leading edge of scientific research.

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.

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!

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.

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.

Amazing read. Computer simulations that attempt to validate Evolution do exactly the opposite. All programs are programmed.

This is a fine Introductory text.

A good overview of the informational challenges within evolution, especially digital evolutionary systems.

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