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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, prediction and control of dynamical process...

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Detalles Bibliográficos
Autores principales: Altman, Eitan, Avrachenkov, Konstantin, Pellegrini, Francesco, El-Azouzi, Rachid, Wang, Huijuan
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-24455-2
http://cds.cern.ch/record/2700123
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author Altman, Eitan
Avrachenkov, Konstantin
Pellegrini, Francesco
El-Azouzi, Rachid
Wang, Huijuan
author_facet Altman, Eitan
Avrachenkov, Konstantin
Pellegrini, Francesco
El-Azouzi, Rachid
Wang, Huijuan
author_sort Altman, Eitan
collection CERN
description 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, prediction and control of dynamical processes in systems possessing a rich multi-level structure and a web of interwoven interactions among elements with autonomous decision-making capabilities. The framework is built around game theoretical concepts, in particular evolutionary and multi-resolution games, and includes also techniques drawn from graph theory, statistical mechanics, control and optimization theory. Specific attention is devoted to systems that are prone to intermittency and catastrophic events due to the effect of collective dynamics.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-27001232021-04-21T18:15:23Zdoi:10.1007/978-3-030-24455-2http://cds.cern.ch/record/2700123engAltman, EitanAvrachenkov, KonstantinPellegrini, FrancescoEl-Azouzi, RachidWang, HuijuanMultilevel strategic interaction game models for complex networksMathematical Physics and MathematicsThis 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, prediction and control of dynamical processes in systems possessing a rich multi-level structure and a web of interwoven interactions among elements with autonomous decision-making capabilities. The framework is built around game theoretical concepts, in particular evolutionary and multi-resolution games, and includes also techniques drawn from graph theory, statistical mechanics, control and optimization theory. Specific attention is devoted to systems that are prone to intermittency and catastrophic events due to the effect of collective dynamics.Springeroai:cds.cern.ch:27001232019
spellingShingle Mathematical Physics and Mathematics
Altman, Eitan
Avrachenkov, Konstantin
Pellegrini, Francesco
El-Azouzi, Rachid
Wang, Huijuan
Multilevel strategic interaction game models for complex networks
title Multilevel strategic interaction game models for complex networks
title_full Multilevel strategic interaction game models for complex networks
title_fullStr Multilevel strategic interaction game models for complex networks
title_full_unstemmed Multilevel strategic interaction game models for complex networks
title_short Multilevel strategic interaction game models for complex networks
title_sort multilevel strategic interaction game models for complex networks
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-24455-2
http://cds.cern.ch/record/2700123
work_keys_str_mv AT altmaneitan multilevelstrategicinteractiongamemodelsforcomplexnetworks
AT avrachenkovkonstantin multilevelstrategicinteractiongamemodelsforcomplexnetworks
AT pellegrinifrancesco multilevelstrategicinteractiongamemodelsforcomplexnetworks
AT elazouzirachid multilevelstrategicinteractiongamemodelsforcomplexnetworks
AT wanghuijuan multilevelstrategicinteractiongamemodelsforcomplexnetworks