Python implementations of perpetual voting rules
Perpetual voting rules  are voting rules that take the history of previous decisions into account. Due to this additional information, perpetual voting rules offer temporal fairness guarantees that cannot be achieved in singular decisions. In particular, such rules may enable minorities to have a fair (proportional) influence on the decision process and thus foster long-term participation of minorities. Further details can be found in , in particular a description of all implemented rules.
- This module requires Python 2.7 or 3.6+.
- It also requires the packages numpy, scipy and matplotlib (see requirements.txt); gmpy2 is optional.
- A simple example can be found in examples/examples.py.
- The code for running the numerical simulations in  is contained in experiments/experiments_aaai.py.
- For the code in experiments/experiments_incomplete.py and experiments/experiments_complete.py data from https://www.dbai.tuwien.ac.at/proj/sudema/data/data.zip is required. Simply download the tsoi collection and extract it into this directory.
 Martin Lackner. Perpetual Voting: Fairness in Long-Term Decision Making. Proceedings of AAAI 2020, 2020. http://martin.lackner.xyz/publications/perpetual.pdf