Foundations of Complex Systems: Emergence, Information and Prediction 2nd Revised edition

Foundations of Complex Systems: Emergence, Information and Prediction 2nd Revised edition book cover

Foundations of Complex Systems: Emergence, Information and Prediction 2nd Revised edition

Author(s): Nicolis Gregoire et al (Author)

  • Publisher: World Scientific Publishing Company
  • Publication Date: 8 May 2012
  • Edition: 2nd Revised edition
  • Language: English
  • Print length: 384 pages
  • ISBN-10: 9814366609
  • ISBN-13: 9789814366601

Book Description

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. This 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 and fast-growing branches of present-day science.

Editorial Reviews

Review

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 the field. —Zentralblatt MATH

From the Back Cover

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 and fast-growing branches of present-day science.

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