Introduction To Evolutionary Informatics

Introduction To Evolutionary Informatics

ISBN-10:
9813142138
ISBN-13:
9789813142138
Pub. Date:
04/19/2017
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9813142138
ISBN-13:
9789813142138
Pub. Date:
04/19/2017
Publisher:
World Scientific Publishing Company, Incorporated
Introduction To Evolutionary Informatics

Introduction To Evolutionary Informatics

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Overview

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.

Product Details

ISBN-13: 9789813142138
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 04/19/2017
Pages: 332
Product dimensions: 6.10(w) x 9.10(h) x 0.90(d)

Table of Contents

Introduction:: The Queen of Scientists & Engineers; Science and Models; Information. What is It?: Defining Information; Measuring Information; Remarks; Design Search in Evolution and the Requirement of Intelligence: Design as Search; Design by Computer; Designing a Good Pancake; Sources of Knowledge; The Curse of Dimensionality & the Need For Knowledge; Implicit Targets; Skeptic Fallibility; A Smörgåsbord of Search Algorithms; Conclusions; Determinism in Randomness: Bernoulli's Principle of Insufficient Reason; The Need for Noise; Basener's Ceiling; Final Comments; Conservation of Information in Computer Search: The Genesis; What is Conservation of Information?; The Astonishing Cost of Blind Search in Bits; Measuring Search Difficulty in Bits; Sources of Information in Evolutionary Search; Stairstep Information & Transitional Functional Viability; Coevolution; The Search for the Search; Conclusion; Analysis of Some Biologically Motivated Evolutionary Models: EV: A Software Model of Evolution; Avida: Stair Steps to Complexity Using NAND Logic; Metabiology; Conclusion: Sweeping a Dirt Floor; Measuring Meaning: Algorithmic Specified Complexity: The Meaning of Meaning; Conditional KCS Complexity; Defining Algorithmic Specified Complexity (ASC); Examples of ASC; Meaning is in the Eye of the Beholder; Intelligent Design & Artificial Intelligence: Turing & Lovelace: One is Strong and the Other One's Dead; ID & the Unknowable

What People are Saying About This

From the Publisher

"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

"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 that random processes can explain many observed phenomena. Thus the book is appropriate for the expert and non-expert alike."
Donald Wunsch
Distinguished Professor and Director of the Applied Computational Intelligence Lab
Missouri University of Science & Technology, 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

"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

"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)

"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

"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 design, and that unguided evolution cannot deliver what its promoters advertise. Though mathematically rigorous, the book is written primarily for non-mathematicians. I recommend it highly."
Jonathan Wells
Senior Fellow, Discovery Institute

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