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Game Equilibria and Transition Dynamics with Networks Unification

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications (WCGO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 991))

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Abstract

In this paper, we consider the following problem - what affects the Nash equilibrium amount of investment in knowledge when one of the complete graph enters another full one. The solution of this problem will allow us to understand exactly how game agents will behave when deciding whether to enter the other net, what conditions and externalities affect it and how the level of future equilibrium amount of investments in knowledge can be predicted.

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Acknowledgement

The research is supported by the Russian Foundation for Basic Research (project 17-06-00618).

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Authors and Affiliations

  1. National Research University “Higher School of Economics” Saint-Petersburg, Saint-Petersburg, Russia

    Alexei Korolev & Ilia Garmashov

Authors
  1. Alexei Korolev
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  2. Ilia Garmashov
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Corresponding author

Correspondence to Alexei Korolev .

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Editors and Affiliations

  1. Computer science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai An Le Thi

  2. Computer Science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai Minh Le

  3. Laboratory of Mathematics, National Institute for Applied Sciences (INSA)-Rouen Normadie, Saint-Étienne-du-Rouvray Cedex, France

    Tao Pham Dinh

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Korolev, A., Garmashov, I. (2020). Game Equilibria and Transition Dynamics with Networks Unification. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_40

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