Title :
Mechanism Design with Set-Theoretic Beliefs
Author :
Chen, Jing ; Micali, Silvio
Author_Institution :
CSAIL, MIT, Cambridge, MA, USA
Abstract :
In settings of incomplete information, we put forward (1) a very conservative -- indeed, purely set-theoretic -- model of the beliefs (including totally wrong ones) that each player may have about the payoff types of his opponents, and (2) a new and robust solution concept, based on mutual belief of rationality, capable of leveraging such conservative beliefs. We exemplify the applicability of our new approach for single-good auctions, by showing that, under our solution concept, a normal-form, simple, and deterministic mechanism guarantees -- up to an arbitrarily small, additive constant -- a revenue benchmark that is always greater than or equal to the second-highest valuation, and sometimes much greater. By contrast, we also prove that the same benchmark cannot even be approximated within any positive factor, under classical solution concepts.
Keywords :
game theory; set theory; deterministic mechanism; incomplete information; mechanism design; robust solution concept; set theoretic beliefs; Benchmark testing; Bismuth; Context; Cost accounting; Games; Robustness; Silicon; beliefs; revenue; single-good auctions;
Conference_Titel :
Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on
Conference_Location :
Palm Springs, CA
Print_ISBN :
978-1-4577-1843-4
DOI :
10.1109/FOCS.2011.11