An Introduction to Complex Systems Science and Its Applications

The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of compl...

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Main Authors: Alexander F. Siegenfeld, Yaneer Bar-Yam
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/6105872
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author Alexander F. Siegenfeld
Yaneer Bar-Yam
author_facet Alexander F. Siegenfeld
Yaneer Bar-Yam
author_sort Alexander F. Siegenfeld
collection DOAJ
description The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of complex systems. This review introduces some of the basic principles of complex systems science, including complexity profiles, the tradeoff between efficiency and adaptability, the necessity of matching the complexity of systems to that of their environments, multiscale analysis, and evolutionary processes. Our focus is on the general properties of systems as opposed to the modeling of specific dynamics; rather than provide a comprehensive review, we pedagogically describe a conceptual and analytic approach for understanding and interacting with the complex systems of our world. This paper assumes only a high school mathematical and scientific background so that it may be accessible to academics in all fields, decision-makers in industry, government, and philanthropy, and anyone who is interested in systems and society.
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spelling doaj-art-35a2f558dd7544f0ac8d97d19f303f192025-08-20T03:55:16ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/61058726105872An Introduction to Complex Systems Science and Its ApplicationsAlexander F. Siegenfeld0Yaneer Bar-Yam1Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USANew England Complex Systems Institute, Cambridge, MA, USAThe standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of complex systems. This review introduces some of the basic principles of complex systems science, including complexity profiles, the tradeoff between efficiency and adaptability, the necessity of matching the complexity of systems to that of their environments, multiscale analysis, and evolutionary processes. Our focus is on the general properties of systems as opposed to the modeling of specific dynamics; rather than provide a comprehensive review, we pedagogically describe a conceptual and analytic approach for understanding and interacting with the complex systems of our world. This paper assumes only a high school mathematical and scientific background so that it may be accessible to academics in all fields, decision-makers in industry, government, and philanthropy, and anyone who is interested in systems and society.http://dx.doi.org/10.1155/2020/6105872
spellingShingle Alexander F. Siegenfeld
Yaneer Bar-Yam
An Introduction to Complex Systems Science and Its Applications
Complexity
title An Introduction to Complex Systems Science and Its Applications
title_full An Introduction to Complex Systems Science and Its Applications
title_fullStr An Introduction to Complex Systems Science and Its Applications
title_full_unstemmed An Introduction to Complex Systems Science and Its Applications
title_short An Introduction to Complex Systems Science and Its Applications
title_sort introduction to complex systems science and its applications
url http://dx.doi.org/10.1155/2020/6105872
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