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Being at Princeton, I’m surrounded by computational modeling, so I will aggregate sources here.

Reading list

Neural network

Reinforcement Learning

Machine Learning

  • techniques: Link
  • Easyml: Easily Build And Evaluate Machine Learning Models

Drift Diffusion

  • Drift Diffusion model is a computational model of decision making that decomposes reaction times and responses into cognitive components. The linked package is a specific python package I have used before.
  • Heirarchical Bayesian method: Link

Social Modeling

  • David Rand’s behavioral economics code: Link
  • Social Network Analysis class: Link

-J

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