Description

Book Synopsis
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.

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.

Foundations Of Complex Systems: Emergence,

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A Hardback by Gregoire Nicolis, Catherine Nicolis

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    View other formats and editions of Foundations Of Complex Systems: Emergence, by Gregoire Nicolis

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 09/03/2012
    ISBN13: 9789814366601, 978-9814366601
    ISBN10: 9814366609

    Description

    Book Synopsis
    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.

    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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