Mechanism design with set-theoretic beliefs
Author(s)
Chen, Jing, Ph. D. Massachusetts Institute of Technology
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Silvio Micali.
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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. In particular we show that, under our solution concept, there exists a simple normal-form mechanism, which always sells the good, always has non-negative revenue, and 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.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 65-66).
Date issued
2012Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.