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Multilevel Strategic Interaction Game Models for Complex Networks

Huijuan Wang (Hrsg.), Francesco De Pellegrini (Hrsg.), Konstantin Avrachenkov (Hrsg.), Eitan Altman (Hrsg.), Rachid El-Azouzi (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Theoretische Physik

Beschreibung

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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Schlagwörter

Collective dynamics, Game theoretic approaches to complex systems, Multi-level strategic interaction games, Control of dynamical processes, complexity, Autonomous agents, CONGAS, data-driven science, modeling and theory building