We consider the problem of fairly allocating a set of indivisible goods to a set of strategic agents with additive valuation functions. We assume no monetary transfers and, therefore, a mechanism in our setting is an algorithm that takes as input the reported—rather than the true—values of the agents. Our main goal is to explore whether there exist mechanisms that have pure Nash equilibria for every instance and, at the same time, provide fairness guarantees for the allocations that correspond to these equilibria. We focus on two relaxations of envy-freeness, namely envy-freeness up to one good (EF 1 ), and envy-freeness up to any good (EFX ), and we positively answer the above question. In particular, we study two algorithms that are known to produce such allocations in the non-strategic setting: Round-Robin (EF 1 allocations for any number of agents) and a cut and choose algorithm of Plaut and Roughgarden [35] (EFX allocations for two agents). For Round-Robin we show that all of its pure Nash equilibria induce allocations that are EF 1 with respect to the underlying true values, while for the algorithm of Plaut and Roughgarden we show that the corresponding allocations not only are EFX but also satisfy maximin share fairness, something that is not true for this algorithm in the non-strategic setting! Further, we show that a weaker version of the latter result holds for any mechanism for two agents that always has pure Nash equilibria which all induce EFX allocations.

Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness / Amanatidis, G.; Birmpas, G.; Fusco, F.; Lazos, Filippos.; Leonardi, S.; Reiffenhauser, R.. - 13112:(2022), pp. 149-166. (Intervento presentato al convegno 17th International Conference on Web and Internet Economics, WINE 2021 tenutosi a Potsdam; Germany) [10.1007/978-3-030-94676-0_9].

Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness

Amanatidis G.
;
Birmpas G.;Fusco F.;Lazos Filippos.;Leonardi S.;Reiffenhauser R.
2022

Abstract

We consider the problem of fairly allocating a set of indivisible goods to a set of strategic agents with additive valuation functions. We assume no monetary transfers and, therefore, a mechanism in our setting is an algorithm that takes as input the reported—rather than the true—values of the agents. Our main goal is to explore whether there exist mechanisms that have pure Nash equilibria for every instance and, at the same time, provide fairness guarantees for the allocations that correspond to these equilibria. We focus on two relaxations of envy-freeness, namely envy-freeness up to one good (EF 1 ), and envy-freeness up to any good (EFX ), and we positively answer the above question. In particular, we study two algorithms that are known to produce such allocations in the non-strategic setting: Round-Robin (EF 1 allocations for any number of agents) and a cut and choose algorithm of Plaut and Roughgarden [35] (EFX allocations for two agents). For Round-Robin we show that all of its pure Nash equilibria induce allocations that are EF 1 with respect to the underlying true values, while for the algorithm of Plaut and Roughgarden we show that the corresponding allocations not only are EFX but also satisfy maximin share fairness, something that is not true for this algorithm in the non-strategic setting! Further, we show that a weaker version of the latter result holds for any mechanism for two agents that always has pure Nash equilibria which all induce EFX allocations.
2022
17th International Conference on Web and Internet Economics, WINE 2021
fair division; equilibria in games; round-robin; cut&choose
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness / Amanatidis, G.; Birmpas, G.; Fusco, F.; Lazos, Filippos.; Leonardi, S.; Reiffenhauser, R.. - 13112:(2022), pp. 149-166. (Intervento presentato al convegno 17th International Conference on Web and Internet Economics, WINE 2021 tenutosi a Potsdam; Germany) [10.1007/978-3-030-94676-0_9].
File allegati a questo prodotto
File Dimensione Formato  
Amanatidis_Allocating_2022.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 377.61 kB
Formato Adobe PDF
377.61 kB Adobe PDF   Contatta l'autore
Amanatidis_preprint_Allocating_2022.pdf

accesso aperto

Note: https://doi.org/10.1007/978-3-030-94676-0_9
Tipologia: Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 337.06 kB
Formato Adobe PDF
337.06 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1613537
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 1
social impact