Manipulation With(out) Money in Matching Market

Sushmita Gupta, Pallavi Jain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The issue of manipulation in the stable marriage game is well-known and have been studied for many decades. The question of weighted manipulation where each manipulative action is charged individually and the question is to decide if a favorable outcome can be attained within a pre-specified budget has only recently been considered by Boehmer et al. [SAGT’20]. They considered several manipulative actions with uniform cost. In this paper, we generalise that model and consider arbitrary cost functions. Moreover, we study an additional question where given a manipulative action and an agent, the goal is to match the agent under a stable matching with the cost not exceeding the budget. We formally address some questions raised by Boehmer et al. and in the process show that in this extended model, all problems under consideration are intractable and even exhibit parameterized hardness. The most intriguing aspect of the analysis is that we are able to identify a common underlying structural property that makes each of the problems hard despite the fact that the manipulative action undertaken and/or the desired outcomes are very different from each other. Moreover, Boehmer et al.’s work revealed several dichotomies–be it classical or parameterized–and therefore it is apriori not obvious why in the weighted setting all problems must be W[1]-hard with respect to the combined parameter of budget and the number of unmatched vertices in a stable matching before manipulation. We discuss our analysis by way of presenting a metagadget that is at the heart of each hardness result, and show how to enrich it in different ways to yield hardness result for each of the individual problems.

Original languageEnglish
Title of host publicationAlgorithmic Decision Theory - 8th International Conference, ADT 2024, Proceedings
EditorsRupert Freeman, Nicholas Mattei
PublisherSpringer Science and Business Media Deutschland GmbH
Pages273-287
Number of pages15
ISBN (Print)9783031739026
DOIs
StatePublished - 1 Jan 2025
Externally publishedYes
Event8th International Conference on Algorithmic Decision Theory, ADT 2024 - New Brunswick, United States
Duration: 14 Oct 202416 Oct 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15248 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Algorithmic Decision Theory, ADT 2024
Country/TerritoryUnited States
CityNew Brunswick
Period14/10/2416/10/24

Keywords

  • bribery
  • control
  • manipulation
  • stable matching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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