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What do we need to do this? Its food for thought for the economics community.because data can be used to inform how the simulation works.
I think really the opportunity here is for AI researchers to work together with economists.they might say that the world is more or less the same every year.the AI Economist team has open-sourced all the code and experimental data based on the research.
somebody gives you a static data set.Another part of the way forward for the AI Economist team is more outreach to the economist community.
It means that a lot of these methods dont really find the best policy if you consider the world in its full richness if you look at all the ways in which the world can change around you.
they need to make a lot of assumptions.among other machine learning tools.
the AI challenge becomes one of how do you build a big enough understanding of the world that you are doing a lot more interpolation then extrapolation? And that challenge would be one.If you were to engage with Poplar two years ago.
Look at the ecosystem that weve create around Poplar. Editorial standards Show Comments.
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