Stochastic evolutionary differential games toward a systems theory of behavioral social dynamics

Author:

Marsan G. Ajmone1,Bellomo N.23,Gibelli L.4

Affiliation:

1. Organization for Economic Cooperation and Development, Paris, France

2. Department of Mathematics, Faculty Sciences, King Abdulaziz University, Jeddah, Saudi Arabia

3. Politecnico di Torino, Torino, Italy

4. Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy

Abstract

This paper proposes a systems approach to social sciences based on a mathematical framework derived from a generalization of the mathematical kinetic theory and of theoretical tools of game theory. Social systems are modeled as a living evolutionary ensemble composed of many individuals, who express specific strategies, cooperate, compete and might aggregate into groups which pursue a common interest. A critical analysis on the complexity features of social system is developed and a differential structure is derived to provide a general framework toward modeling. Then, a case study shows how the systems approach is applied. Moreover, it is shown how the theory leads to the interpretation and use of the so-called big data. Finally some research perspectives are brought to the attention of readers.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation

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