Guided self organization inception (18 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    EUR 199,40

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    Condizione: New. pp. 475.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    EUR 140,10

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    Taschenbuch. Condizione: Neu. Guided Self-Organization: Inception | Mikhail Prokopenko | Taschenbuch | Emergence, Complexity and Computation | xxii | Englisch | 2016 | Springer | EAN 9783662523926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 240,74

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    Hardcover. Condizione: Brand New. 2014 edition. 475 pages. 9.25x6.25x1.25 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.

  • Lingua: Inglese

    Editore: Springer, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 224,71

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    EUR 259,52

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    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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  • Lingua: Inglese

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    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg Sep 2016, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning. 500 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg Jan 2014, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning. 500 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Condizione: New. Print on Demand pp. 475.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Condizione: New. PRINT ON DEMAND pp. 475.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2014, 2014

    3642537332 / 9783642537332

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn¿t this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control.Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox.In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms.A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2016, 2016

    3662523922 / 9783662523926

    Serie: Libro 7 di 47 - Emergence, Complexity and Computation

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn¿t this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control.Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox.In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms.A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch.