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Social Welfare in One-Sided Matching Mechanisms

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Autonomous Agents and Multiagent Systems (AAMAS 2016)

Abstract

We study the Price of Anarchy of mechanisms for the well-known problem of one-sided matching, or house allocation, with respect to the social welfare objective. We consider both ordinal mechanisms, where agents submit preference lists over the items, and cardinal mechanisms, where agents may submit numerical values for the items being allocated. We present a general lower bound of \(\varOmega (\sqrt{n})\) on the Price of Anarchy, which applies to all mechanisms. We show that two well-known mechanisms, Probabilistic Serial, and Random Priority, achieve a matching upper bound. We extend our lower bound to the Price of Stability of a large class of mechanisms that satisfy a common proportionality property, and show stronger bounds on the Price of Anarchy of all deterministic mechanisms.

George Christodoulou, Paul W. Goldberg and Jinshan Zhang were supported by the EPSRC grant EP/K01000X/1. Paul W. Goldberg was supported by COST Action IC1205. Aris Filos-Ratsikas and Jie Zhang were supported by the ERC Advanced Grant 321171 (ALGAME). Aris Filos-Ratsikas and Søren K.S. Frederiksen acknowledge support from the Danish National Research Foundation and The National Science Foundation of China (under the grant 61061130540) for the Sino-Danish Center for the Theory of Interactive Computation, within which part of this work was performed and support from the Center for Research in Foundations of Electronic Markets (CFEM), supported by the Danish Strategic Research Council.

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Acknowledgements

The authors would like to thank Piotr Krysta for useful discussion.

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Correspondence to Jie Zhang .

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Christodoulou, G., Filos-Ratsikas, A., Frederiksen, S.K.S., Goldberg, P.W., Zhang, J., Zhang, J. (2016). Social Welfare in One-Sided Matching Mechanisms. In: Osman, N., Sierra, C. (eds) Autonomous Agents and Multiagent Systems. AAMAS 2016. Lecture Notes in Computer Science(), vol 10002. Springer, Cham. https://doi.org/10.1007/978-3-319-46882-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-46882-2_3

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