NetLogo User Community Models
The Mafia Model - Interaction between police, mafia and storewoners
by Adrian Haugen Ordemann and Benedito Faustinoni Neto (Submitted: 05/04/2014 )
## WHAT IS IT?
This model intends to simulate the interaction of a mafia-based economy.
## HOW IT WORKS
The market will grow profit according to the endowment-rate, green patches indicates profit obtainable for storeowners. Red patches have no profit.
## HOW TO USE IT
First of all, you should adjust the sliders and the switch according to the state of the world you wish to simulate.
Endowment? decides if there should be growth of profit or not
## THINGS TO NOTICE
The core of the strength of public interventions applied to social norms, is that it's able to increase the efficiency of the economy, by changing behavior. By changing the slider storeowners-thrust-in-govs-ability-to-fight-mafia for a small amount of time, a benchmark for social norms may be reached so that the government may get long-term
## THINGS TO TRY
Try to find the benchmarks for making long-term beneficial effects in black wealt by doing some short-term public intervention, by changing storeowners-thrust-in-govs-ability-to-fight-mafia for a short amount of time.
## EXTENDING THE MODEL
The relationship between the variables could be estimated and implemented in the model to make it more realistic, as a part of the syntax or as a slider according to uncertainty. The interaction between the agents could be more complex, storeowners could affect each other, police could have interacted with the storeowners to check if their business was legal. The public interventions affecting social norms, here through storeowners-thrust-in-govs-ability-to-fight-mafia, could be separated into different types of expenditures in public interventions, norms management, regulations, financial interventions and changing architecture, to make it more suitable for real life. Then the storeowners propensinsity to adapt these norms could be adjusted by a slider, to simulate different network structures and societies.
## Related models
(back to the NetLogo User Community Models)