Multi-stage Generalized Deferred Acceptance Mechanism: Strategyproof Mechanism for Handling General Hereditary Constraints

Kei Kimura, Kwei Guu Liu, Zhaohong Sun, Kentaro Yahiro, Makoto Yokoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The theory of two-sided matching has been extensively developed and applied to many real-life application domains. As the theory has been applied to increasingly diverse types of environments, researchers and practitioners have encountered various forms of distributional constraints. Arguably, the most general class of distributional constraints would be hereditary constraints; if a matching is feasible, then any matching that assigns weakly fewer students at each college is also feasible. However, under general hereditary constraints, it is shown that no strategyproof mechanism exists that simultaneously satisfies fairness and weak nonwastefulness, which is an efficiency (students’ welfare) requirement weaker than nonwastefulness. We propose a new strategyproof mechanism that works for hereditary constraints called the Multi-Stage Generalized Deferred Acceptance mechanism (MS-GDA). It uses the Generalized Deferred Acceptance mechanism (GDA) as a subroutine, which works when distributional constraints belong to a well-behaved class called hereditary M-convex set. We show that GDA satisfies several desirable properties, most of which are also preserved in MS-GDA.

Original languageEnglish
Title of host publicationPRIMA 2024
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 25th International Conference, Proceedings
EditorsRyuta Arisaka, Takayuki Ito, Victor Sanchez-Anguix, Sebastian Stein, Reyhan Aydoğan, Leon van der Torre
PublisherSpringer Science and Business Media Deutschland GmbH
Pages405-420
Number of pages16
ISBN (Print)9783031773662
DOIs
Publication statusPublished - 2025
Event25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024 - Kyoto, Japan
Duration: Nov 18 2024Nov 24 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15395 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024
Country/TerritoryJapan
CityKyoto
Period11/18/2411/24/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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