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An introduction to complex systemsma...
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SpringerLink (Online service)
An introduction to complex systemsmaking sense of a changing world /
Record Type:
Electronic resources : Monograph/item
Title/Author:
An introduction to complex systemsby Joe Tranquillo.
Reminder of title:
making sense of a changing world /
Author:
Tranquillo, Joe.
Published:
Cham :Springer International Publishing :2019.
Description:
xiv, 396 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
System theory.
Online resource:
https://doi.org/10.1007/978-3-030-02589-2
ISBN:
9783030025892$q(electronic bk.)
An introduction to complex systemsmaking sense of a changing world /
Tranquillo, Joe.
An introduction to complex systems
making sense of a changing world /[electronic resource] :by Joe Tranquillo. - Cham :Springer International Publishing :2019. - xiv, 396 p. :ill. (some col.), digital ;24 cm.
Introduction -- Simple Rules - Complex Behavior -- Non-linear Systems -- Pattern Formation -- Networks -- Information Flow -- Thermodynamics of Complex Systems -- Game Theory -- Dynamics on Networks -- The Edge -- Criticisms and Future Work.
This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections. Studies the tools of complex system theory that include chaos and fractals, game theory, networks, agent-based models and information theory; Contains examples, some outside the traditional boundaries of science, to help build a more intuitive feeling for complex systems; Outlines principles that can be used to design the next generation of machines and automata.
ISBN: 9783030025892$q(electronic bk.)
Standard No.: 10.1007/978-3-030-02589-2doiSubjects--Topical Terms:
183989
System theory.
LC Class. No.: Q295 / .T736 2019
Dewey Class. No.: 003
An introduction to complex systemsmaking sense of a changing world /
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Introduction -- Simple Rules - Complex Behavior -- Non-linear Systems -- Pattern Formation -- Networks -- Information Flow -- Thermodynamics of Complex Systems -- Game Theory -- Dynamics on Networks -- The Edge -- Criticisms and Future Work.
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This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections. Studies the tools of complex system theory that include chaos and fractals, game theory, networks, agent-based models and information theory; Contains examples, some outside the traditional boundaries of science, to help build a more intuitive feeling for complex systems; Outlines principles that can be used to design the next generation of machines and automata.
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Engineering (Springer-11647)
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EB Q295 T772 2019 2019
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https://doi.org/10.1007/978-3-030-02589-2
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