Foundations Of Complex Systems: Emergence, Information And Prediction (2nd Edition)
Author:   Gregoire Nicolis (Univ Of Brussels, Belgium) ,  Catherine Nicolis (Royal Meteorological Inst Of Belgium)
Publisher:   World Scientific Publishing Co Pte Ltd
Edition:   2nd Revised edition
ISBN:  

9789814366601


Pages:   384
Publication Date:   09 March 2012
Format:   Hardback
Availability:   In Print   Availability explained
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Foundations Of Complex Systems: Emergence, Information And Prediction (2nd Edition)


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Overview

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.

Full Product Details

Author:   Gregoire Nicolis (Univ Of Brussels, Belgium) ,  Catherine Nicolis (Royal Meteorological Inst Of Belgium)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Edition:   2nd Revised edition
Dimensions:   Width: 15.70cm , Height: 2.50cm , Length: 23.10cm
Weight:   0.676kg
ISBN:  

9789814366601


ISBN 10:   9814366609
Pages:   384
Publication Date:   09 March 2012
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

The Phenomenology of Complex Systems; Deterministic View; Probabilistic Description; Complexity, Entropy and Information; Prediction; Selected Topics; Exercises and Problems; Suggestions for Further Reading.

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