[FRIAM] Agent-Based Model of Democratic Backsliding

[Pietro Terna]

     Great, many thanks, Pietro

Il 26/02/22 17:04, Jochen Fromm ha scritto:
> I have created and run a simple agent-based model for democratic 
> backsliding
> https://nbviewer.org/github/JochenFromm/JupyterNotebooks/blob/master/ModelingDemocraticBackslidingABM.ipynb
>
> It is in fact in agreement with the theory mentioned earlier (the 
> replicator equation for the coordination game described here)
> https://nbviewer.org/github/JochenFromm/JupyterNotebooks/blob/master/ModelingDemocraticBacksliding.ipynb
>
> It is just a simple model, but I believe it can help to explain why 
> people in authoritarian states like Russia or Belarus do not overthrow 
> their authoritarian government. If they protest, they are imprisoned 
> and vanish. If the momentum is big enough, the situation can be 
> different, though.
>
> The same dynamics can be found in the opposite direction: criminals 
> and con men usually do not try to change the existing political order. 
> If they do, they are imprisoned and disappear behind bars. If the 
> crisis is big enough, then sometimes they really succeed in turning a 
> democracy into an authoritarian regime.
>
> What do you think, does it make sense for you?
>
> -J.
>
>
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-- 

Gianpiero Pescarmona, Pietro Terna, Alberto Acquadro, Paolo Pescarmona, Giuseppe Russo, Emilio Sulis and Stefano Terna (2021),
An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies,
http://arxiv.org/abs/2108.08885

Brevi testi ahttps://terna.to.it/breviArticoli.html

Home page:https://terna.to.it   Twitter:https://twitter.com/@pietroterna
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