Overview
- Explores the complexities and erring mechanisms of dysfunctional socioeconomic systems
- Includes more than 200 figures to illustrate the new concepts
- Presents interesting examples and applications to enhance readers’ comprehension of the concepts and theories discussed
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 275)
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About this book
This book offers a new perspective and deeper understanding of complex socioeconomic systems, and explores the laws and mechanisms of erring by revealing the system structure, i.e., the context in which errors are imbedded. It proposes a number of new concepts for the field of systems science concerning the forces affecting e.g. system structure, subsystem structures, and system elements.
Given its scope, it offers an excellent reference book for researchers and other readers in the fields of systems science, management science, mathematics, fuzzy logic and sets, symbolic logic, philosophy, etc. The book can also benefit researchers and practitioners in artificial intelligence and machine learning, as various erring patterns can be identified by training intelligent machines with big data (i.e., error cases and their logic), helping to prevent or eliminate errors in a cost-effective manner.Similar content being viewed by others
Keywords
Table of contents (9 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Error Systems: Concepts, Theory and Applications
Authors: Kaizhong Guo, Shiyong Liu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-40760-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40759-9Published: 01 March 2020
Softcover ISBN: 978-3-030-40762-9Published: 01 March 2021
eBook ISBN: 978-3-030-40760-5Published: 29 February 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXX, 337
Number of Illustrations: 46 b/w illustrations, 229 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory