Allocating resources to individuals in a fair manner has been a topic of interest since the ancient times, with most of the early rigorous mathematical work on the problem focusing on infinitely divisible resources. Recently, there has been a surge of papers studying computational questions regarding various different notions of fairness for the indivisible case, like maximin share fairness (MMS) and envy-freeness up to any good (EFX). We survey the most important results in the discrete fair division literature, focusing on the case of additive valuation functions and paying particular attention to the progress made in the last 10 years.

Fair Division of Indivisible Goods: A Survey / Amanatidis, G.; Birmpas, G.; Filos-Ratsikas, A.; Voudouris, A. A.. - (2022), pp. 5385-5393. (Intervento presentato al convegno 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 tenutosi a Messe Wien, aut).

Fair Division of Indivisible Goods: A Survey

Amanatidis G.;Birmpas G.;
2022

Abstract

Allocating resources to individuals in a fair manner has been a topic of interest since the ancient times, with most of the early rigorous mathematical work on the problem focusing on infinitely divisible resources. Recently, there has been a surge of papers studying computational questions regarding various different notions of fairness for the indivisible case, like maximin share fairness (MMS) and envy-freeness up to any good (EFX). We survey the most important results in the discrete fair division literature, focusing on the case of additive valuation functions and paying particular attention to the progress made in the last 10 years.
2022
31st International Joint Conference on Artificial Intelligence, IJCAI 2022
Fair Division, Survey, MMS, Envy Free
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Fair Division of Indivisible Goods: A Survey / Amanatidis, G.; Birmpas, G.; Filos-Ratsikas, A.; Voudouris, A. A.. - (2022), pp. 5385-5393. (Intervento presentato al convegno 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 tenutosi a Messe Wien, aut).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1685516
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