The following code was provided for completion of this project.
The purpose of this repo is to provide easy-to-play-with pieces of code, to illustrate various fair division notions and protocols. More specifically, we follow the following chapter:
Bouveret, Sylvain, Chevaleyre, Yann et Maudet, Nicolas (2016). Fair Allocation of Indivisible Goods. In Brandt, Felix, Conitzer, Vincent, Endriss, Ulle, Lang, Jérôme et Procaccia, Ariel D., éditeurs, Handbook of Computational Social Choice, Chapitre 12.Cambridge University Press.
The code is divided in four main modules:
problem.pyallows to define various problemsfairnessmeasures.pydefines different functions to compute fairness measuresmipsolving.pyimplements MIP formulations for fair optimisation problemsprotocols.pyimplements several protocols discussed in the chapter (adjusted winner, picking sequences, Liption et al., etc.)
It is accompanied with a Jupyter Notebook illustrating the different notions.
Requires to have installed:
- Pulp