Overview
- Concentrates on the contribution of probability to practical applicability of global risk governance
- Introduces structural stochastic concepts and fundamental stochastic results to global risk governance operations
- Presents stochastic models particularly valuable in proactive treatment of several groups of global risks
Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 27)
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About this book
This book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks.
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Table of contents (4 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Random Contractions in Global Risk Governance
Authors: Panagiotis T. Artikis, Constantinos T. Artikis
Series Title: Learning and Analytics in Intelligent Systems
DOI: https://doi.org/10.1007/978-3-030-95691-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-95690-5Published: 01 February 2022
Softcover ISBN: 978-3-030-95693-6Published: 02 February 2023
eBook ISBN: 978-3-030-95691-2Published: 31 January 2022
Series ISSN: 2662-3447
Series E-ISSN: 2662-3455
Edition Number: 1
Number of Pages: X, 285
Number of Illustrations: 1 b/w illustrations