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Foundations of complex systems : emergence, information and predicition / G. Nicolis, C. Nicolis.

By: Contributor(s): Material type: TextTextPublication details: Hackensack, NJ : World Scientific, ©2012.Edition: 2nd edDescription: 1 online resource (xvi, 367 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9814366617
  • 9789814366618
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 003.75 23
LOC classification:
  • QA267.7 .N533
Online resources:
Contents:
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.
Summary: 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.
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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.

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