Complexity Science: The Study of Emergence 1st Edition by Henrik Jeldtoft Jensen

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Binding
HARDCOVER
Subject
Complexity Science: The Study of Emergence 1st Edition by Henrik
Year Printed
2023
ISBN
1108834760
Book Title
Complexity Science : the Study of Emergence
Publisher
Cambridge University Press
Item Length
10.2 in
Publication Year
2022
Format
Hardcover
Language
English
Illustrator
Yes
Item Height
1 in
Author
Henrik Jeldtoft Jensen
Genre
Science
Topic
General, Physics / Mathematical & Computational
Item Width
7.2 in
Number of Pages
485 Pages
Category

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1108834760
ISBN-13
9781108834766
eBay Product ID (ePID)
26057263065

Product Key Features

Book Title
Complexity Science : the Study of Emergence
Number of Pages
485 Pages
Language
English
Publication Year
2022
Topic
General, Physics / Mathematical & Computational
Illustrator
Yes
Genre
Science
Author
Henrik Jeldtoft Jensen
Format
Hardcover

Dimensions

Item Height
1 in
Item Length
10.2 in
Item Width
7.2 in

Additional Product Features

LCCN
2022-039526
Dewey Edition
23
Reviews
'Henrik Jensen has produced a masterpiece - describing complexity science from the perspective of a universal theory applicable to many different subject areas, and based on fundamental theoretical principles. A clear virtue of the exposition is that many different topics relevant for complex systems are first treated in an easy-going introductory way, while concrete mathematical models and applications are then provided in the second part of the book. This is a well-thought-through textbook that presents complexity science as a whole, rather than as a collection of single topics.' Christian Beck, Queen Mary University of London
Dewey Decimal
501
Table Of Content
Part I. Conceptual Foundation of Complexity Science: 1. The Science of Emergence; 2. Conceptual Framework of Emergence; 3. Specific Types of Emergent Behaviour; 4. The Value of Prototypical Models of Emergence; Part II. Mathematical Tools of Complexity Science: 5. Branching Processes; 6. Statistical Mechanics; 7. Synchronisation; 8. Network Theory; 9. Information Theory and Entropy; 10. Stochastic Dynamics and Equations for the Probabilities; 11. Agent-Based Modelling; 12. Intermittency; 13. Tipping Points, Transitions and Forecasting; 14. Concluding Comments and a Look to the Future.
Synopsis
Ecosystems, the human brain, ant colonies, and economic networks are all complex systems displaying collective behaviour, or emergence, beyond the sum of their parts. Complexity science is the systematic investigation of these emergent phenomena, and stretches across disciplines, from physics and mathematics, to biological and social sciences. This introductory textbook provides detailed coverage of this rapidly growing field, accommodating readers from a variety of backgrounds, and with varying levels of mathematical skill. Part I presents the underlying principles of complexity science, to ensure students have a solid understanding of the conceptual framework. The second part introduces the key mathematical tools central to complexity science, gradually developing the mathematical formalism, with more advanced material provided in boxes. A broad range of end of chapter problems and extended projects offer opportunities for homework assignments and student research projects, with solutions available to instructors online. Key terms are highlighted in bold and listed in a glossary for easy reference, while annotated reading lists offer the option for extended reading and research., This introductory textbook provides detailed coverage of the rapidly growing field of complexity science and accommodates readers from a wide variety of backgrounds, and with varying levels of mathematical skill. The book contains a broad range of end of chapter problems and extended projects, with solutions available to instructors online.
LC Classification Number
Q175.32.C65

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