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Introduction to evolutionary informatics Robert J. Marks II, William A. Dembski & Winston Ewert

By: Contributor(s): Material type: TextTextPublication details: New Jersey : World Scientific Publishing Co. Pte. Ltd., c2017.Description: xxv, 304 p. : ill. ; 24 cmISBN:
  • 9789813142138
  • 9789813142145
Subject(s): DDC classification:
  • 006.3823 MA IN
Online resources: Summary: 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.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 006.3823 MA IN (Browse shelf(Opens below)) Available May2018 T0059485

Includes bibliographical references and index.

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.

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