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From Complexity to Creativity: Explorations in Evolutionary, Autopoietic, and Cognitive Dynamics (IFSR International Series on Systems Science and Engineering) [Hardcover]

Ben Goertzel (Author)

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Book Description

ISBN-10: 0306455188 | ISBN-13: 978-0306455186 | Publication Date: February 28, 1997 | Edition: 1

This groundbreaking text applies the concepts of complexity science to provide a unified scientific explanation of all aspects of human creativity. The book clearly describes the psynet model-a novel complex-systems theory-that integrates ideas from computer science, mathematics, neurobiology, philosophy, and cognitive and personality psychology. Goertzel shows how common computer science algorithms, such as neural nets and genetic algorithms, fit into the mental and creative process, and proposes that the understanding of mathematics must be extended to successfully deal with the mind's workings.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } This groundbreaking text applies the concepts of complexity science to provide a unified scientific explanation of all aspects of human creativity. The book clearly describes the psynet model-a novel complex-systems theory-that integrates ideas from computer science, mathematics, neurobiology, philosophy, and cognitive and personality psychology. Goertzel shows how common computer science algorithms, such as neural nets and genetic algorithms, fit into the mental and creative process, and proposes that the understanding of mathematics must be extended to successfully deal with the mind's workings.

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Product Details

Hardcover: 402 pages
Publisher: Springer; 1 edition (February 28, 1997)
Language: English
ISBN-10: 0306455188
ISBN-13: 978-0306455186
Product Dimensions: 9.3 x 6.3 x 1.3 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #3,686,952 in Books (See Top 100 in Books)

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Front Cover | Table of Contents | First Pages | Index | Surprise Me!

Inside This Book (learn more)

First Sentence:
In this brief chapter, I will introduce a few preliminary ideas required for understanding the rest of the book: dynamics, attractors, chaos, genetic algorithms, magician systems, and algorithmic patterns in dynamics. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
psynet model, magician systems, fractal melodies, magician dynamics, other subselves, different subselves, artificial intersubjectivity, cognitive equation, two subselves, heterarchical network, learning triad, hypercomplex algebras, intimacy system, structural conspiracy, attractor generation, dual network, surprising fulfillment, elementary quantum phenomenon, autopoietic subsystem, feminine masochist, structural conspiracies, perceptual end, raw consciousness, structural fitness, raw awareness

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Fundamental Principle, Chaotic Logic, Darwin Machine, Active Web, Brudno's Equation, Tony Smith, George Christos, Simple Evolving Ecology, Structure-Dynamics Principle, Metapattern Seven, Neural Darwinism, Onar Aam, Probable Producibility Hypothesis, Sri Aurobindo, The Evolving Mind, Generalized Frobenius Theorem, Georgia Tech, Linus Pauling, The World Wide Brain, Thich Nhat Hanh

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Front Cover | Table of Contents | First Pages | Index | Surprise Me!

Citations (learn more)

This book cites 72 books:

Thought As A System (Key Ideas) by David Bohm on page 205, page 358, and Back Matter
Mind and Nature: A Necessary Unity (Advances in Systems Theory, Complexity, and the Human Sciences) by Gregory Bateson in Front Matter, page 26, and Back Matter
Evolving Mind (World Futures General Evolution Studies) by Goertzel on page 116, Back Matter (1), and Back Matter (2)
Ecce Homo: How One Becomes What One Is; Revised Edition (Penguin Classics) by Friedrich Nietzsche on page 343, and Back Matter
Consciousness Explained by Daniel C. Dennett on page 185, and Back Matter

See all 72 books this book cites

1 book cites this book:

Super-Intelligent Machines (Ifsr International Series on Systems Science and Engineering) by Bill Hibbard in Back Matter

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