Self-Organizing Natural Intelligence

Self-Organizing Natural Intelligence
Author: Myrna Estep
Publisher: Springer Science & Business Media
Total Pages: 382
Release: 2006-12-26
Genre: Psychology
ISBN: 1402052995


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This book brings new scientific methods to intelligence research that is still under the influence of 19th century single causal theory and method. The author describes a rigorous and exhaustive classification of natural intelligence while demonstrating a more adequate scientific and mathematical approach than current statistical and psychometric approaches construct to shore up the out-dated and misused IQ hypothetical. The author demonstrates the superiority of a highly developed multidisciplinary-theory models view of intelligence.


Self-Organizing Natural Intelligence
Language: en
Pages: 382
Authors: Myrna Estep
Categories: Psychology
Type: BOOK - Published: 2006-12-26 - Publisher: Springer Science & Business Media

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This book brings new scientific methods to intelligence research that is still under the influence of 19th century single causal theory and method. The author d
Self-Organization in Biological Systems
Language: en
Pages:
Authors: Scott Camazine
Categories: Science
Type: BOOK - Published: 2020-05-26 - Publisher: Princeton University Press

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The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinat
Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation
Language: en
Pages: 407
Authors: Zhou, Zude
Categories: Computers
Type: BOOK - Published: 2010-03-31 - Publisher: IGI Global

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"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Self-Organizing Migrating Algorithm
Language: en
Pages: 294
Authors: Donald Davendra
Categories: Technology & Engineering
Type: BOOK - Published: 2016-02-04 - Publisher: Springer

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This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm
Building the Future of Innovation on Millions of Years of Natural Intelligence
Language: en
Pages: 196
Authors: Leen Gorissen
Categories: Business & Economics
Type: BOOK - Published: 2020-04-30 - Publisher:

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Despite endless change and disruption, massive upheaval and cosmic collisions, nature has survived the worst of times and thrived in the best of them for 3.8 bi