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Manipulation of stable matchings using minimal blacklists

Published: 01 June 2014 Publication History

Abstract

Gale and Sotomayor [1985] have shown that in the Gale-Shapley matching algorithm [1962], the proposed-to side W (referred to as women there) can strategically force the W-optimal stable matching as the M-optimal one by truncating their preference lists, each woman possibly blacklisting all but one man. As Gusfield and Irving have already noted in 1989, no results are known regarding achieving this feat by means other than such preference-list truncation, i.e. by also permuting preference lists.
We answer Gusfield and Irving's open question by providing tight upper bounds on the amount of blacklists and their combined size, that are required by the women to force a given matching as the M-optimal stable matching, or, more generally, as the unique stable matching. Our results show that the coalition of all women can strategically force any matching as the unique stable matching, using preference lists in which at most half of the women have nonempty blacklists, and in which the average blacklist size is less than 1. This allows the women to manipulate the market in a manner that is far more inconspicuous, in a sense, than previously realized. When there are less women than men, we show that in the absence of blacklists for men, the women can force any matching as the unique stable matching without blacklisting anyone, while when there are more women than men, each to-be-unmatched woman may have to blacklist as many as all men. Together, these results shed light on the question of how much, if at all, do given preferences for one side a priori impose limitations on the set of stable matchings under various conditions. All of the results in this paper are constructive, providing efficient algorithms for calculating the desired strategies.

Cited By

View all
  • (2024)Strategic aspects of stable matching marketsProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/893(8077-8085)Online publication date: 3-Aug-2024
  • (2021)Bribery and Control in Stable MarriageJournal of Artificial Intelligence Research10.1613/jair.1.1275571(993-1048)Online publication date: 24-Aug-2021
  • (2021)Coalitional Permutation Manipulations in the Gale-Shapley AlgorithmArtificial Intelligence10.1016/j.artint.2021.103577(103577)Online publication date: Aug-2021
  • Show More Cited By

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Published In

cover image ACM Conferences
EC '14: Proceedings of the fifteenth ACM conference on Economics and computation
June 2014
1028 pages
ISBN:9781450325653
DOI:10.1145/2600057
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2014

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Author Tags

  1. blacklist
  2. deferred acceptance
  3. game theory
  4. manipulation
  5. matching
  6. stability

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EC '14
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EC '14: ACM Conference on Economics and Computation
June 8 - 12, 2014
California, Palo Alto, USA

Acceptance Rates

EC '14 Paper Acceptance Rate 80 of 290 submissions, 28%;
Overall Acceptance Rate 664 of 2,389 submissions, 28%

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The 25th ACM Conference on Economics and Computation
July 7 - 11, 2025
Stanford , CA , USA

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Cited By

View all
  • (2024)Strategic aspects of stable matching marketsProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/893(8077-8085)Online publication date: 3-Aug-2024
  • (2021)Bribery and Control in Stable MarriageJournal of Artificial Intelligence Research10.1613/jair.1.1275571(993-1048)Online publication date: 24-Aug-2021
  • (2021)Coalitional Permutation Manipulations in the Gale-Shapley AlgorithmArtificial Intelligence10.1016/j.artint.2021.103577(103577)Online publication date: Aug-2021
  • (2021)Descending the Stable Matching Lattice: How Many Strategic Agents Are Required to Turn Pessimality to Optimality?Algorithmic Game Theory10.1007/978-3-030-85947-3_19(281-295)Online publication date: 14-Sep-2021
  • (2019)Assigning more students to their top choices: A comparison of tie-breaking rulesGames and Economic Behavior10.1016/j.geb.2019.02.015Online publication date: Mar-2019
  • (2019)A stable marriage requires communicationGames and Economic Behavior10.1016/j.geb.2018.10.013Online publication date: Jul-2019
  • (2018)Coalition manipulation of gale-shapley algorithmProceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence10.5555/3504035.3504183(1210-1217)Online publication date: 2-Feb-2018

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