A Calculus for Computing Structured Justifications for Election Outcomes
Abstract
In the context of social choice theory, we develop a tableau-based calculus for reasoning about voting rules. This calculus can be used to obtain structured explanations for why a given set of axioms justifies a given election outcome for a given profile of voter preferences. We then show how to operationalise this calculus, using a combination of SAT solving and answer set programming, to arrive at a flexible framework for presenting human-readable justifications to users.
Cite
Text
Boixel et al. "A Calculus for Computing Structured Justifications for Election Outcomes." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I5.20414Markdown
[Boixel et al. "A Calculus for Computing Structured Justifications for Election Outcomes." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/boixel2022aaai-calculus/) doi:10.1609/AAAI.V36I5.20414BibTeX
@inproceedings{boixel2022aaai-calculus,
title = {{A Calculus for Computing Structured Justifications for Election Outcomes}},
author = {Boixel, Arthur and Endriss, Ulle and de Haan, Ronald},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2022},
pages = {4859-4866},
doi = {10.1609/AAAI.V36I5.20414},
url = {https://mlanthology.org/aaai/2022/boixel2022aaai-calculus/}
}