TY - GEN
T1 - Implementation in advised strategies
T2 - 11th Innovations in Theoretical Computer Science Conference, ITCS 2020
AU - Cai, Linda
AU - Thomas, Clay
AU - Matthew Weinberg, S.
N1 - Publisher Copyright:
© Linda Cai, Clay Thomas, and S. Matthew Weinberg.
PY - 2020/1
Y1 - 2020/1
N2 - State-of-the-art posted-price mechanisms for submodular bidders with m items achieve approximation guarantees of O((log log m)3) [1]. Their truthfulness, however, requires bidders to compute an NP-hard demand-query. Some computational complexity of this form is unavoidable, as it is NP-hard for truthful mechanisms to guarantee even an m1/2−ε-approximation for any ε > 0 [21]. Together, these establish a stark distinction between computationally-efficient and communication-efficient truthful mechanisms. We show that this distinction disappears with a mild relaxation of truthfulness, which we term implementation in advised strategies. Specifically, advice maps a tentative strategy either to that same strategy itself, or one that dominates it. We say that a player follows advice as long as they never play actions which are dominated by advice. A poly-time mechanism guarantees an α-approximation in implementation in advised strategies if there exists advice (which runs in poly-time) for each player such that an α-approximation is achieved whenever all players follow advice. Using an appropriate bicriterion notion of approximate demand queries (which can be computed in poly-time), we establish that (a slight modification of) the [1] mechanism achieves the same O((log log m)3)-approximation in implementation in advised strategies.
AB - State-of-the-art posted-price mechanisms for submodular bidders with m items achieve approximation guarantees of O((log log m)3) [1]. Their truthfulness, however, requires bidders to compute an NP-hard demand-query. Some computational complexity of this form is unavoidable, as it is NP-hard for truthful mechanisms to guarantee even an m1/2−ε-approximation for any ε > 0 [21]. Together, these establish a stark distinction between computationally-efficient and communication-efficient truthful mechanisms. We show that this distinction disappears with a mild relaxation of truthfulness, which we term implementation in advised strategies. Specifically, advice maps a tentative strategy either to that same strategy itself, or one that dominates it. We say that a player follows advice as long as they never play actions which are dominated by advice. A poly-time mechanism guarantees an α-approximation in implementation in advised strategies if there exists advice (which runs in poly-time) for each player such that an α-approximation is achieved whenever all players follow advice. Using an appropriate bicriterion notion of approximate demand queries (which can be computed in poly-time), we establish that (a slight modification of) the [1] mechanism achieves the same O((log log m)3)-approximation in implementation in advised strategies.
KW - Combinatorial auctions
KW - Incentive compatible
KW - Posted-price mechanisms
KW - Submodular valuations
UR - http://www.scopus.com/inward/record.url?scp=85078070553&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078070553&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.ITCS.2020.61
DO - 10.4230/LIPIcs.ITCS.2020.61
M3 - Conference contribution
AN - SCOPUS:85078070553
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 11th Innovations in Theoretical Computer Science Conference, ITCS 2020
A2 - Vidick, Thomas
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Y2 - 12 January 2020 through 14 January 2020
ER -