student profile: Mr Bohdan Slavko


Thesis work

Thesis title: A Thermodynamic Approach to Modelling of Social Dynamics

Supervisors: Petr MATOUS , Mikhail PROKOPENKO

Thesis abstract:

Computational social science has been a popular research direction for a long
time. Attempts to model consumer behaviour, processes of protest formation, demographic changes and other social phenomena are well-known examples from economical literature, but the majority of these models are not designed for quantitative analysis. For instance, the neoclassical economic modelling (that is followed by behavioural and political economists) usually utilises game-theoretic models in which an equilibrium may concur with the modelled reality but does not lead to quantitative models with a high predictive strength. The main source of difficulties in modelling of multi-agent social systems is a challenge of measuring hidden interactions in social groups that do not allow to consider the system as a set of separate components.

One of the promising ways to deal with such complex problems is an application of statistical-mechanical and information-theoretic approaches to social systems modeling. This approach is fairly novel but has demonstrated significant results in modeling of collective behaviour.

Our aim is to expand the existing analogies between thermodynamic systems and complex multi-agent systems, and to apply this approach to the social science.

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