Description

Book Synopsis
Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level.

Table of Contents
The Phenomenology of Complex Systems; Quantitative View; The Probabilistic Dimension of Complex Systems; Information, Entropy and Selection; Communicating with a Complex System: Monitoring, Analysis and Prediction; Selected Topics.

Foundations Of Complex Systems: Nonlinear

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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: Nonlinear by Gregoire Nicolis

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 04/09/2007
    ISBN13: 9789812700438, 978-9812700438
    ISBN10: 9812700439
    Also in:
    Cybernetics and systems theory

    Description

    Book Synopsis
    Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level.

    Table of Contents
    The Phenomenology of Complex Systems; Quantitative View; The Probabilistic Dimension of Complex Systems; Information, Entropy and Selection; Communicating with a Complex System: Monitoring, Analysis and Prediction; Selected Topics.

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