TY - GEN
T1 - Explicitly Simple Near-Tie Auctions
AU - Meir, Reshef
AU - Colini-Baldeschi, Riccardo
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - We consider the problem of truthfully auctioning a single item, that can be either fractionally or probabilistically divided among several winners when their bids are sufficiently close to a tie. While Myerson’s Lemma states that any monotone allocation rule can be implemented, truthful payments are computed by integrating over each profile, and may be difficult to comprehend and explain. We look for payment rules that are given explicitly as a simple function of the allocated fraction and the others’ bids. For two agents, this simply coincides with (non-negative) Myerson’s payments. For three agents or more, we characterize the near-tie allocation rules that admit such explicit payments, and provide an iterative algorithm to compute them. In particular we show that any such payment rule must require positive payments to some of the bidders.
AB - We consider the problem of truthfully auctioning a single item, that can be either fractionally or probabilistically divided among several winners when their bids are sufficiently close to a tie. While Myerson’s Lemma states that any monotone allocation rule can be implemented, truthful payments are computed by integrating over each profile, and may be difficult to comprehend and explain. We look for payment rules that are given explicitly as a simple function of the allocated fraction and the others’ bids. For two agents, this simply coincides with (non-negative) Myerson’s payments. For three agents or more, we characterize the near-tie allocation rules that admit such explicit payments, and provide an iterative algorithm to compute them. In particular we show that any such payment rule must require positive payments to some of the bidders.
KW - Diversity
KW - Mechanism design
KW - Simplicity
UR - http://www.scopus.com/inward/record.url?scp=85138790703&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-15714-1_7
DO - 10.1007/978-3-031-15714-1_7
M3 - منشور من مؤتمر
SN - 9783031157134
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 113
EP - 130
BT - Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings
A2 - Kanellopoulos, Panagiotis
A2 - Kyropoulou, Maria
A2 - Voudouris, Alexandros
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Symposium on Algorithmic Game Theory, SAGT 2022
Y2 - 12 September 2022 through 15 September 2022
ER -