TY - GEN
T1 - Multi-stage Generalized Deferred Acceptance Mechanism
T2 - 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024
AU - Kimura, Kei
AU - Liu, Kwei Guu
AU - Sun, Zhaohong
AU - Yahiro, Kentaro
AU - Yokoo, Makoto
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - mechanism design
KW - strategyproofness
KW - two-sided matching
UR - http://www.scopus.com/inward/record.url?scp=85210173403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85210173403&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-77367-9_30
DO - 10.1007/978-3-031-77367-9_30
M3 - Conference contribution
AN - SCOPUS:85210173403
SN - 9783031773662
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 405
EP - 420
BT - PRIMA 2024
A2 - Arisaka, Ryuta
A2 - Ito, Takayuki
A2 - Sanchez-Anguix, Victor
A2 - Stein, Sebastian
A2 - Aydoğan, Reyhan
A2 - van der Torre, Leon
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 November 2024 through 24 November 2024
ER -