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

Nicola Bellomo, Giulia Ajmone Marsan, Livio Gibelli
2016-02-16

SCID:  54.1/zpapbukq
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.
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2016-02-16
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Nicola Bellomo
Giulia Ajmone Marsan
Livio Gibelli
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