Foundations of complex systems: emergence, information and predicition
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, NJ
World Scientific
©2012
|
| Ausgabe: | 2nd ed |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | This book provides a self-contained presentation of the physical and mathematical laws governing complex systems. Complex systems arising in natural, engineering, environmental, life and social sciences are approached from a unifying point of view using an array of methodologies such as microscopic and macroscopic level formulations, deterministic and probabilistic tools, modeling and simulation. The book can be used as a textbook by graduate students, researchers and teachers in science, as well as non-experts who wish to have an overview of one of the most open, markedly interdisciplinary an Preface; Preface to the Second Edition; Contents; 1 The Phenomenology of Complex Systems; 1.1 Complexity, a new paradigm; 1.2 Signatures of complexity; 1.3 Onset of complexity; 1.4 Four case studies; 1.4.1 Emergence of macroscopic order: Rayleigh-Benard convection; 1.4.2 The challenge of prediction: atmospheric and climatic variability; 1.4.3 Information transfer and collective decision making: food recruitment in ants; 1.4.4 Human systems; 1.5 Summing up; Exercises and Problems; Relevant references; 2 Deterministic View; 2.1 Dynamical systems, phase space, stability |
| Beschreibung: | 1 Online-Ressource (xvi, 367 pages) |
| ISBN: | 9789814366601 9789814366618 9814366609 9814366617 |
Internformat
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| 500 | |a Preface; Preface to the Second Edition; Contents; 1 The Phenomenology of Complex Systems; 1.1 Complexity, a new paradigm; 1.2 Signatures of complexity; 1.3 Onset of complexity; 1.4 Four case studies; 1.4.1 Emergence of macroscopic order: Rayleigh-Benard convection; 1.4.2 The challenge of prediction: atmospheric and climatic variability; 1.4.3 Information transfer and collective decision making: food recruitment in ants; 1.4.4 Human systems; 1.5 Summing up; Exercises and Problems; Relevant references; 2 Deterministic View; 2.1 Dynamical systems, phase space, stability | ||
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Datensatz im Suchindex
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| author | Nicolis, G. |
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| dewey-full | 003.75 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.75 |
| dewey-search | 003.75 |
| dewey-sort | 13.75 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 2nd ed |
| format | Electronic eBook |
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| id | DE-604.BV043088383 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:04Z |
| institution | BVB |
| isbn | 9789814366601 9789814366618 9814366609 9814366617 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 367 pages) |
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| spelling | Nicolis, G. Verfasser aut Foundations of complex systems emergence, information and predicition G. Nicolis, C. Nicolis 2nd ed Hackensack, NJ World Scientific ©2012 1 Online-Ressource (xvi, 367 pages) txt rdacontent c rdamedia cr rdacarrier This book provides a self-contained presentation of the physical and mathematical laws governing complex systems. Complex systems arising in natural, engineering, environmental, life and social sciences are approached from a unifying point of view using an array of methodologies such as microscopic and macroscopic level formulations, deterministic and probabilistic tools, modeling and simulation. The book can be used as a textbook by graduate students, researchers and teachers in science, as well as non-experts who wish to have an overview of one of the most open, markedly interdisciplinary an Preface; Preface to the Second Edition; Contents; 1 The Phenomenology of Complex Systems; 1.1 Complexity, a new paradigm; 1.2 Signatures of complexity; 1.3 Onset of complexity; 1.4 Four case studies; 1.4.1 Emergence of macroscopic order: Rayleigh-Benard convection; 1.4.2 The challenge of prediction: atmospheric and climatic variability; 1.4.3 Information transfer and collective decision making: food recruitment in ants; 1.4.4 Human systems; 1.5 Summing up; Exercises and Problems; Relevant references; 2 Deterministic View; 2.1 Dynamical systems, phase space, stability SCIENCE / System Theory bisacsh Computational complexity fast Nonlinear systems fast Nonlinear theories fast System analysis fast Computational complexity Nonlinear systems System analysis Nonlinear theories Nicolis, Catherine Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=457204 Aggregator Volltext |
| spellingShingle | Nicolis, G. Foundations of complex systems emergence, information and predicition SCIENCE / System Theory bisacsh Computational complexity fast Nonlinear systems fast Nonlinear theories fast System analysis fast Computational complexity Nonlinear systems System analysis Nonlinear theories |
| title | Foundations of complex systems emergence, information and predicition |
| title_auth | Foundations of complex systems emergence, information and predicition |
| title_exact_search | Foundations of complex systems emergence, information and predicition |
| title_full | Foundations of complex systems emergence, information and predicition G. Nicolis, C. Nicolis |
| title_fullStr | Foundations of complex systems emergence, information and predicition G. Nicolis, C. Nicolis |
| title_full_unstemmed | Foundations of complex systems emergence, information and predicition G. Nicolis, C. Nicolis |
| title_short | Foundations of complex systems |
| title_sort | foundations of complex systems emergence information and predicition |
| title_sub | emergence, information and predicition |
| topic | SCIENCE / System Theory bisacsh Computational complexity fast Nonlinear systems fast Nonlinear theories fast System analysis fast Computational complexity Nonlinear systems System analysis Nonlinear theories |
| topic_facet | SCIENCE / System Theory Computational complexity Nonlinear systems Nonlinear theories System analysis |
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