Editors:
- Covers risk reduction management in complex systems
- Describes an artificial intelligence approach to understand complex systems
- Explains the relationship between transient chaos and crises
Part of the book series: Nonlinear Systems and Complexity (NSCH, volume 33)
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Table of contents (11 chapters)
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Front Matter
About this book
Editors and Affiliations
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Department of Mathematics & Statistics, Texas Tech University, Lubbock, USA
Dimitri Volchenkov
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ISEP-Institute of Engineering, Polytechnic of Porto, Porto, Portugal
J. A. Tenreiro Machado
About the editors
Dr J. A. Tenreiro Machado was born at 1957. He graduated with ‘Licenciatura’ (1980), PhD. (1989) and ‘Habilitation’ (1995), in Electrical and Computer Engineering at the University of Porto. During 1980-1998 he worked at the Dept. of Electrical and Computer Engineering of the University of Porto. Since 1998 he works at the Institute of Engineering, Polytechnic Institute of Porto, Dept. of Electrical Engineering. His research focuses on complex systems, nonlinear dynamics, fractional calculus, modeling, entropy, control, and evolutionary computing, as well as genomics. Prof. J. A. Tenreiro Machado is a member of the Editorial boards of several international journals, guest editor of Special Issues, and has about 1000 publications in journals, conferences, and books.
Dr. Dimitri Volchenkov, an Associate Professor of Applied Mathematics, Mathematics and Statistics Department, Texas Tech University (USA) and a “Thousand talent plan of China” Professor in the Artificial Intelligence Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science and Engineering (China). He is a qualified professor in France and Germany, admitted as “Nationally recognized Talent” of China, awarded by Cheung Kong Scholarship (China), Alexander von Humboldt and Volkswagen Fellowships (Germany), NATO/OTAN and C.N.R.S Fellowships (France), George Soros Foundation (USA) and Scientists Federal Awards (Russia). He is an expert in data analysis, complexity science, network theory, stochastic non-linear dynamics, control, and uncertainty in the real-world systems
Bibliographic Information
Book Title: Mathematical Methods in Modern Complexity Science
Editors: Dimitri Volchenkov, J. A. Tenreiro Machado
Series Title: Nonlinear Systems and Complexity
DOI: https://doi.org/10.1007/978-3-030-79412-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-79411-8Published: 15 March 2022
Softcover ISBN: 978-3-030-79414-9Published: 16 March 2023
eBook ISBN: 978-3-030-79412-5Published: 14 March 2022
Series ISSN: 2195-9994
Series E-ISSN: 2196-0003
Edition Number: 1
Number of Pages: X, 197
Number of Illustrations: 25 b/w illustrations, 69 illustrations in colour
Topics: Mathematical Physics, Complexity, Computational Intelligence, Mathematical and Computational Engineering, Engineering Mathematics