Introduction to evolutionary informatics
By: Marks, Robert J
Title By: Dembski, William A | Ewert, Winston
Material type:
BookPublisher: New Jersey : World Scientific Publishing Co. Pte. Ltd., c2017.Description: xxv, 304 p. : ill. ; 24 cm.ISBN: 9789813142138; 9789813142145Subject(s): Evolutionary computation | Information technology -- MathematicsDDC classification: 006.3823 MA IN Online resources: Location Map | Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.3823 MA IN (Browse shelf) | Available | May2018 | T0059485 |
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| 006.38 NA TU Nature-inspired computation and swarm intelligence : | 006.382 FI BR Brain vs computer : | 006.3823 BU GE Genetic algorithms and machine learning for programmers : | 006.3823 MA IN Introduction to evolutionary informatics | 006.3824 AD VA Advances in swarm intelligence for optimizing problems in computer science | 006.3824 EV OL Evolutionary and swarm intelligence algorithms | 006.3843 GR CO Computing with quantum cats : |
Includes bibliographical references and index.
Introduction --
Information : what is it? --
Design search in evolution and the requirement of intelligence --
Determinism in randomness --
Conservation of information in computer search --
Analysis of some biologically motivated evolutionary models --
Measuring meaning : algorithmic specified complexity --
Intelligent design & artificial intelligence --
Appendices.
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.