Random contractions in global risk governance / Panagiotis T. Artikis, Constantinos T. Artikis.
Artikis, Panagiotis, author.; Artikis, Constantinos, author.
2022
HB615 .A75 2022
Available Online

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Title Random contractions in global risk governance / Panagiotis T. Artikis, Constantinos T. Artikis.
Author Artikis, Panagiotis, author.
ISBN 9783030956912 (electronic bk.)
3030956911 (electronic bk.)
9783030956905
3030956903
DOI https://doi.org/10.1007/978-3-030-95691-2
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-3-030-95691-2 doi
Call Number HB615 .A75 2022
Dewey Decimal Classification 368
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
Added Author Artikis, Constantinos, author.
Series Learning and analytics in intelligent systems ; v. 27.
Available in Other Form Print version: 9783030956905
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Chapter 1: Stochastic Concepts in Global Risk Governance Operations
Chapter 2: Formulation of a Stochastic Model
Chapter 3: Random Contraction Representation for a Stochastic Model
Chapter 4: Interpretation of a Stochastic Model in Global Risk Governance. .

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