Code for simulating code of simulations for Bayesian Social Learning in LLM Equipped Bayesian Agents

Directory Structure:

plots/ : Directory for storing plots
data/ : Directory for storing data
parameters/ : Directory for storing parameters
finance.ipynb: Code for the financial news example
herding.ipynb: Code for the herding experiment
incentivized_herding.ipynb: Code for the incentivized herding experiment on the hatespeech dataset
optimalstopping.ipynb: Code for the optimal stopping experiment
niasniac.py: Code for checking the NIAS and NIAC conditions and estimating the utilities using maxmargin and sparsest utility
niasniac.ipynb: Code for checking the NIAS and NIAC conditions and estimating the utilities using maxmargin and sparsest utility
product.ipynb: Code for the product example
controllingherding.py: Code for simulating the model for stopping time problem
herding.py: Code for simulating the model for herding problem
process_data.py: Code for processing the data
preprocess_data.py: Code for preprocessing the data
rbm.py: Code for restricted boltzmann machine
nn_test.py: Code for testing the neural network