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Article type: Research Article
Authors: Kuckuck, Bennoa | Rothe, Jörgb; *
Affiliations: [a] Mathematisches Institut, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany. E-mail: kuckuck@uni-duesseldorf.de | [b] Institut für Informatik, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany. E-mail: rothe@hhu.de
Correspondence: [*] Corresponding author. E-mail: rothe@hhu.de.
Abstract: We study a property of procedures for allocating indivisible goods to agents called duplication monotonicity, first proposed by Baumeister et al. (Journal of Autonomous Agents and Multi-Agent Systems 31 (2017) 628–655). An allocation procedure satisfies duplication monotonicity if two agents with identical preferences always receive at least as good a share together than one agent would on her own. We study this property first for rules that take cardinal inputs, i.e., the numerical utility of each item to each agent; and secondly for rules that take ordinal inputs, i.e., a ranking of all the items for each agent. In the first case, the rules are parametrized by a social welfare ordering interpolating between utilitarian and egalitarian approaches. In the second case, the rules are additionally parametrized by a scoring vector. We show that in the ordinal setting, only the rule using utilitarian social welfare satisfies duplication monotonicity. In stark contrast, in the ordinal setting we prove that a form of duplication monotonicity holds under a weak assumption on the social welfare function (satisfied by all our examples), answering a question by Baumeister et al. (Journal of Autonomous Agents and Multi-Agent Systems 31 (2017) 628–655).
Keywords: Computational social choice, fair division, scoring allocation rule, duplication monotonicity
DOI: 10.3233/AIC-190613
Journal: AI Communications, vol. 32, no. 4, pp. 253-270, 2019
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