Combining Fairness and Optimality when Selecting and Allocating Projects - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Combining Fairness and Optimality when Selecting and Allocating Projects

Résumé

We consider the problem of the conjoint selection and allocation of projects to a population of agents, e.g. students are assigned papers and shall present them to their peers. The selection can be constrained either by quotas over subcategories of projects, or by the preferences of the agents themselves. We explore fairness and optimality issues and refine the analysis of the rank-maximality and popularity optimality concepts. We show that they are compatible with reasonable fairness requirements related to rank-based envy-freeness and can be adapted to select globally good projects according to the preferences of the agents.

Dates et versions

hal-03312854 , version 1 (03-08-2021)

Identifiants

Citer

Khaled Belahcene, Vincent Mousseau, Anaëlle Wilczynski. Combining Fairness and Optimality when Selecting and Allocating Projects. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Aug 2021, Montreal, Canada. pp.38-44, ⟨10.24963/ijcai.2021/6⟩. ⟨hal-03312854⟩
83 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More