Multilevel Strategic Interaction Game Models for Complex Networks

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Multi-Level Evolutionary Games and Social Values. Innovative Methods and Models are Mentioned as Well

    1. Front Matter
      Pages 1-3
    2. Ilaria Brunetti, Rachid El-Azouzi, Eitan Altman
      Pages 5-23
    3. Rachid El-Azouzi, Eitan Altman, Ilaria Brunetti, Majed Haddad, Houssem Gaiech
      Pages 25-43
    4. Nesrine Ben Khalifa, Rachid El-Azouzi, Yezekael Hayel
      Pages 45-71
    5. Nesrine Ben Khalifa, Rachid El-Azouzi, Yezekael Hayel
      Pages 73-94
    6. Ilaria Brunetti, Yezekael Hayel, Eitan Altman
      Pages 95-107
  3. Epidemics/Information Diffusion on Networks

    1. Front Matter
      Pages 109-110
    2. Stefania Ottaviano, Francesco De Pellegrini, Stefano Bonaccorsi, Delio Mugnolo, Piet Van Mieghem
      Pages 111-129
    3. Huijuan Wang, Stojan Trajanovski, Dongchao Guo, Piet Van Mieghem
      Pages 147-161
  4. Networking Games

    1. Front Matter
      Pages 163-165
    2. Gideon Blocq, Ariel Orda
      Pages 167-184
    3. Giovanni Accongiagioco, Eitan Altman, Enrico Gregori, Luciano Lenzini
      Pages 201-237
    4. Alexandre Reiffers-Masson, Yezekael Hayel, Eitan Altman, Tania Jimenez
      Pages 239-259
  5. Intermittency in Complex Systems

    1. Front Matter
      Pages 261-262
    2. Duccio Piovani, Jelena Grujić, Henrik J. Jensen
      Pages 263-270
    3. Duccio Piovani, Jelena Grujić, Henrik J. Jensen
      Pages 271-283
    4. Duccio Piovani, Jelena Grujić, Henrik J. Jensen
      Pages 285-298
    5. Duccio Piovani, Jelena Grujić, Henrik J. Jensen
      Pages 299-309
  6. Back Matter
    Pages 311-322

About this book


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.


CONGAS Multi-level strategic interaction games Control of dynamical processes Game theoretic approaches to complex systems Collective dynamics Autonomous agents

Editors and affiliations

  • Eitan Altman
    • 1
  • Konstantin Avrachenkov
    • 2
  • Francesco De Pellegrini
    • 3
  • Rachid El-Azouzi
    • 4
  • Huijuan Wang
    • 5
  1. 1.INRIASophia AntipolisFrance
  2. 2.INRIASophia AntipolisFrance
  3. 3.University of AvignonAvignonFrance
  4. 4.University of AvignonAvignonFrance
  5. 5.Delft University of TechnologyDelftThe Netherlands

Bibliographic information