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An implementation of game theory of mind in a agent based framework following the implementation of Devaine, et al. (2017).

Project description

tomsup: Theory of Mind Simulation using Python

A Python Package for Agent Based simulations.

[![PyPI Version](link missing) ![Python Versions](link missing)

An implementation of game theory of mind in a agent based framework following the implementation of Devaine, et al. (2017).

References

@inproceedings{qi2018universal,
 author = {Enevoldsen and Waade},
 title = {Unknown},
 month = {Unkown},
 pages = {Unknown},
 publisher = {Unknown},
 title = {Unknown},
 url = {Unknown},
 year = {2019}
}

Issues and Usage Q&A

To ask questions, report issues or request features, please use the GitHub Issue Tracker.

Setup

StanfordNLP supports Python 3.6 or later. We strongly recommend that you install PACKAGENAME from PyPI. If you already have pip installed, simply run:

pip3 install tomsup

Or to install it from github run

git clone https://github.com/KennethEnevoldsen/tomsup.git
cd tomsup
pip3 install -e .

Getting Started with PACKAGENAME

>>> import tomsup
>>> 

The output should look something like:

('Barack', '200000', 'sampleoutput')

Note: There is probably things you would want to write a note on.

See our getting started guide for more details.

A todolist:

Need to have

  • rework of WSLS

Nice to have:

  • Smart initialize ToM
  • reinforcement learner agent

LICENSE

tomsup is released under the Apache License, Version 2.0.

Project details


Release history Release notifications

This version

1.0

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