COEGSS: agent based model for smoking prevalence

COEGSS: agent based model for smoking prevalence
December 5, 2017 Eleonora Panto
CSP is one of the  partner of  the COEGSS project – a project on Global Systems Science – a new research area that studies complex systems, such as climate change, financial stability and the adoption of new technologies. In the article

 

Modelling smoking prevalence with supercomputers

we describe the agent-based model (ABM) – The model is able to predict the prevalence of smoking in a country based on the expected effectiveness of the different policies that regulate the consumption of tobacco implemented by the government.