Humans of Simulated New York: an exploratory comprehensive model of city life
arxiv.org
arxiv.org
1) Models are hard to get right. You need to find the right balance between simplifications and reality. The results indicate something is not calibrated or functioning the same as our current state.
2) Models are intended to be simplifications. We draw meaningful results from very simple models (e.g. supply and demand) but without modeling the complex interactions it's hard to say what impact could a certain policy have on the system. Agent-based models are a way to do this and the computing power available is allowing us to experiment with this.
Re: #1. We may find that modeling and seeing outcomes similar to our own is very hard to get to. This may be due to model specification, or it could be that given the rules that govern our own interactions and intentions, our current state may be the one we just chanced upon.
This is a hard challenge to tackle but I'm glad that the authors have published this and shared their code. Don't expect to have prescriptive solutions from it anytime soon though.
And by that I mean most economic theory about how to run policy.
And it's even written in Python, just like my project!
I can't wait to get home tonight and play with this...
And an amazing podcast, "This week in virology": http://www.microbe.tv/twiv/twiv-7-viruses-in-video-games/
The scenario with ’Low technology’ seems to be the most reasonable one with an initial decrease in quality of life that rebounds in the later run of the model. That seems to happen, as prices remain much lower than those observed in the ’Average’ and ’Positive’ scenarios, although not at zero as the ’Negative’ one
Where the scenario »Low technology« is defined as follows.
• a massive solar flare from the sun disables all electronic equipment
• a bioengineered super-nutritional food is available
• disease has been totally eliminated
Simulation of human life combined with reality capture and BIM software are going to change the game. So-much-so that the market price of commodities like copper and aluminum are going to become of GLOBAL interest.
This could not have come at a better time than when scientists are freaking out about the Great Barrier Reef being almost completely dead.
Because it is not so focused on people as much as it is with "people in cities." Cities are the future of low carbon emissions. So specifically simulating and visualizing the happiness of people within cities is huge. There is great potential for this work.
Perhaps you have some good ideas, but the form is terrible.