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Introduction to evolutionary informa...
~
Dembski, William A., (1960-)
Introduction to evolutionary informatics[electronic resource] /
纪录类型:
书目-电子资源 : Monograph/item
[NT 15000414] null:
006.3823
[NT 47271] Title/Author:
Introduction to evolutionary informatics/ Robert J. Marks II, William A. Dembski, Winston Ewert.
作者:
Marks, Robert J.,
[NT 51406] other author:
Dembski, William A.,
出版者:
Singapore : : World Scientific,, c2017.
面页册数:
1 online resource (331 p.) : : ill.
附注:
Title from PDF file title page (viewed March 15, 2017)
标题:
Evolutionary computation.
标题:
Information technology - Mathematics.
标题:
Electronic books.
ISBN:
9789813142152
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000229] null:
"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."--Publisher's website.
电子资源:
http://www.worldscientific.com/worldscibooks/10.1142/9974#t=toc
Introduction to evolutionary informatics[electronic resource] /
Marks, Robert J.,II1950-
Introduction to evolutionary informatics
[electronic resource] /Robert J. Marks II, William A. Dembski, Winston Ewert. - 1st ed. - Singapore :World Scientific,c2017. - 1 online resource (331 p.) :ill.
Title from PDF file title page (viewed March 15, 2017)
Includes bibliographical references and index.
"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."--Publisher's website.
Electronic reproduction.
Singapore :
World Scientific,
[2017]
Mode of access: World Wide Web.
ISBN: 9789813142152
LCCN: 2016014235Subjects--Topical Terms:
404545
Evolutionary computation.
LC Class. No.: TA347.E96 / M37 2017
Dewey Class. No.: 006.3823
Introduction to evolutionary informatics[electronic resource] /
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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."--Publisher's website.
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http://www.worldscientific.com/worldscibooks/10.1142/9974#t=toc
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