Multilevel Strategic Interaction Game Models for Complex Networks

This book provides a state-of-the-art overview on the dynamics and coevolution in multi-level strategic interaction games. As such it summarizes the results of the European CONGAS project, which developed new mathematical models and tools for the analysis

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ltilevel Strategic Interaction Game Models for Complex Networks

Multilevel Strategic Interaction Game Models for Complex Networks

Eitan Altman Konstantin Avrachenkov Francesco De Pellegrini Rachid El-Azouzi Huijuan Wang •







Editors

Multilevel Strategic Interaction Game Models for Complex Networks

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Editors Eitan Altman INRIA Sophia Antipolis, France

Konstantin Avrachenkov INRIA Sophia Antipolis, France

Francesco De Pellegrini University of Avignon Avignon, France

Rachid El-Azouzi University of Avignon Avignon, France

Huijuan Wang Delft University of Technology Delft, The Netherlands

ISBN 978-3-030-24454-5 ISBN 978-3-030-24455-2 https://doi.org/10.1007/978-3-030-24455-2

(eBook)

© Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

Many real-world systems possess rich multi-level structures and exhibit complex dynamics. The source of complexity often relates to the presence of a web of interwoven interactions among elements which have autonomous decision-making capabilities. In this book, we report on several recent mathematical models and tools, often rooted in game theory, for the analysis, prediction and control of dynamical processes in complex systems. In particular, our aim has been to provide a coherent theoretical framework for understanding the emergence of structures and patterns in complex systems. In this context, it is often necessary to account for interactions which may span various scales in time and space. Also, interactions of various elements may act at different structural and aggregation levels. Because the framework we propose is built around game theoretical concepts, we have been giving special attention to ev