On the hardness of dominant strategy mechanism design
On the hardness of dominant strategy mechanism design
复制标题
论优势策略机制设计的硬度
DOI:
10.1145/3519935.3520013
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Vondrák, Jan
中科院分区:
文献类型:
--
作者:
Dobzinski, Shahar;Ron, Shiri;Vondrák, Jan
We study the communication complexity of dominant strategy implementations of combinatorial auctions. We start with two domains that are generally considered “easy”: multi-unit auctions with decreasing marginal values and combinatorial auctions with gross substitutes valuations. For both domains we have fast algorithms that find the welfare-maximizing allocation with communication complexity that is poly-logarithmic in the input size. This immediately implies that welfare maximization can be achieved in ex-post equilibrium with no significant communication cost, by using VCG payments. In contrast, we show that in both domains the communication complexity of any dominant strategy implementation that achieves the optimal welfare is polynomial in the input size.We then move on to studying the approximation ratios achievable by dominant strategy mechanisms. For multi-unit auctions with decreasing marginal values, we provide a dominant-strategy communication FPTAS. For combinatorial auctions with general valuations, we show that there is no dominant strategy mechanism that achieves an approximation ratio better thanm1−єthat usespoly(m,n) bits of communication, wheremis the number of items andnis the number of bidders. In contrast, a randomized dominant strategy mechanism that achieves anO(√m) approximation withpoly(m,n) communication is known. This proves the first gap between computationally efficient deterministic dominant strategy mechanisms and randomized ones.En route, we answer an open question on the communication cost of implementing dominant strategy mechanisms for more than two players, and also solve some open problems in the area of simultaneous combinatorial auctions.
登录
查看更多内容
DOI:
10.1145/3357713.3384267
发表时间:
2020
期刊:
Symposium on Theory of Computing
影响因子:
--
作者:
Assadi, Sepehr;Khandeparkar, Hrishikesh;Saxena, Raghuvansh R.;Weinberg, S. Matthew
通讯作者:
Weinberg, S. Matthew
DOI:
10.1145/3406325.3451127
发表时间:
2021
期刊:
ACM SIGACT Symposium on Theory of Computing
影响因子:
--
作者:
Rubinstein, Aviad;Saxena, Raghuvansh R.;Thomas, Clayton;Weinberg, S. Matthew;Zhao, Junyao
通讯作者:
Zhao, Junyao
影响因子:
8.2
作者:
N. Nisan
通讯作者:
N. Nisan
DOI:
--
发表时间:
2016
期刊:
IEEE Annual Symposium on Foundations of Computer Science
影响因子:
--
作者:
Shahar Dobzinski
通讯作者:
Shahar Dobzinski
DOI:
10.1137/1.9781611976465.40
发表时间:
2020
期刊:
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
--
作者:
Sepehr Assadi;Thomas Kesselheim;Sahil Singla
通讯作者:
Sahil Singla