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optimal-attention's Introduction

Code and data for: "Uncovering the optimal information sampling policy underlying subset choice"

Important files

  • meta_mdp.jl defines the metalevel Markov decision process.
  • voi.jl defines the value of information features (need to be changed if used)
  • bmps.jl defines the policy, based on the VOI features.
  • bmps_ucb.jl defines the UCB method for identifying near-optimal settings of the BMPS weights.
  • directed_cognition.jl defines

TODO

  • Generate some sets of States with different characteristics for simulating some choice, rt, and fixation data.
  • Create plots for the following: Probability of choosing the first-seen item as a function of the first-fixation duration & first fixation duration as a function of the rating of the first-fixated item. Best off making these plots in R
  • Clean up code and review code. Retain only code that is needed todo the simulations. Otherwise, you will confuse yourself about what gets used where when.

optimal-attention's People

Contributors

fredcallaway avatar kiante-fernandez avatar

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