|
|
|
|
LEADER |
01365 am a22002173u 4500 |
001 |
62861 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Chen, Jing
|e author
|
100 |
1 |
0 |
|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
|e contributor
|
100 |
1 |
0 |
|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
|e contributor
|
100 |
1 |
0 |
|a Micali, Silvio
|e contributor
|
100 |
1 |
0 |
|a Chen, Jing
|e contributor
|
100 |
1 |
0 |
|a Micali, Silvio
|e contributor
|
700 |
1 |
0 |
|a Micali, Silvio
|e author
|
245 |
0 |
0 |
|a A new approach to auctions and resilient mechanism design
|
260 |
|
|
|b Association for Computing Machinery,
|c 2011-05-20T20:29:31Z.
|
856 |
|
|
|z Get fulltext
|u http://hdl.handle.net/1721.1/62861
|
520 |
|
|
|a We put forward a new approach to mechanism design, and exemplify it via a new mechanism guaranteeing significant revenue in unrestricted combinatorial auctions. Our mechanism (1) succeeds in a new and very adversarial collusion model; (2) works in a new, equilibrium-less, and very strong solution concept; (3) benchmarks its performance against the knowledge that the players have about each other; (4) is computationally efficient and preserves the players' privacy to an unusual extent.
|
546 |
|
|
|a en_US
|
655 |
7 |
|
|a Article
|
773 |
|
|
|t ACM Symposium on Theory of Computing (STOC). Proceedings ... 2009
|