Epistemic Implementation and The Arbitrary-Belief Auction

In settings of incomplete information we put forward an epistemic framework for designing mechanisms that successfully leverage the players' arbitrary higher-order beliefs, even when such beliefs are totally wrong, and even when the players are rational in a very weak sense. Following Aumann (1...

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Main Authors: Chen, Jing, Micali, Silvio, Pass, Rafael
Other Authors: Silvio Micali
Language:en-US
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/71232
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author Chen, Jing
Micali, Silvio
Pass, Rafael
author2 Silvio Micali
author_facet Silvio Micali
Chen, Jing
Micali, Silvio
Pass, Rafael
author_sort Chen, Jing
collection MIT
description In settings of incomplete information we put forward an epistemic framework for designing mechanisms that successfully leverage the players' arbitrary higher-order beliefs, even when such beliefs are totally wrong, and even when the players are rational in a very weak sense. Following Aumann (1995), we consider a player i rational if he uses a pure strategy s_i such that no alternative pure strategy s_i' performs better than s_i in every world i considers possible, and consider him order-k rational if he is rational and believes that all other players are order-(k-1) rational. We then introduce an iterative deletion procedure of dominated strategies and use it to precisely characterize the strategies consistent with the players being order-k rational. We exemplify the power of our framework in single-good auctions by introducing and achieving a new class of revenue benchmarks, defined over the players' arbitrary beliefs, that can be much higher than classical ones, and are unattainable by traditional mechanisms. Namely, we exhibit a mechanism that, for every k greater than or equal to 0 and epsilon>0 and whenever the players are order-(k+1) rational, guarantees revenue greater than or equal to G^k-epsilon, where G^k is the second highest belief about belief about ... (k times) about the highest valuation of some player, even when such a player's identity is not precisely known. Importantly, our mechanism is possibilistic interim individually rational. Essentially this means that, based on his beliefs, a player's utility is non-negative not in expectation, but in each world he believes possible. We finally show that our benchmark G^k is so demanding that it separates the revenue achievable with order-k rational players from that achievable with order-(k+1) rational ones. That is, no possibilistic interim individually rational mechanism can guarantee revenue greater than or equal to G^k-c, for any constant c>0, when the players are only order-k rational.
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spelling mit-1721.1/712322019-04-12T15:41:00Z Epistemic Implementation and The Arbitrary-Belief Auction Chen, Jing Micali, Silvio Pass, Rafael Silvio Micali Theory of Computation higher-order beliefs higher-order rationality revenue In settings of incomplete information we put forward an epistemic framework for designing mechanisms that successfully leverage the players' arbitrary higher-order beliefs, even when such beliefs are totally wrong, and even when the players are rational in a very weak sense. Following Aumann (1995), we consider a player i rational if he uses a pure strategy s_i such that no alternative pure strategy s_i' performs better than s_i in every world i considers possible, and consider him order-k rational if he is rational and believes that all other players are order-(k-1) rational. We then introduce an iterative deletion procedure of dominated strategies and use it to precisely characterize the strategies consistent with the players being order-k rational. We exemplify the power of our framework in single-good auctions by introducing and achieving a new class of revenue benchmarks, defined over the players' arbitrary beliefs, that can be much higher than classical ones, and are unattainable by traditional mechanisms. Namely, we exhibit a mechanism that, for every k greater than or equal to 0 and epsilon>0 and whenever the players are order-(k+1) rational, guarantees revenue greater than or equal to G^k-epsilon, where G^k is the second highest belief about belief about ... (k times) about the highest valuation of some player, even when such a player's identity is not precisely known. Importantly, our mechanism is possibilistic interim individually rational. Essentially this means that, based on his beliefs, a player's utility is non-negative not in expectation, but in each world he believes possible. We finally show that our benchmark G^k is so demanding that it separates the revenue achievable with order-k rational players from that achievable with order-(k+1) rational ones. That is, no possibilistic interim individually rational mechanism can guarantee revenue greater than or equal to G^k-c, for any constant c>0, when the players are only order-k rational. 2012-06-27T20:15:03Z 2012-06-27T20:15:03Z 2012-06-22 http://hdl.handle.net/1721.1/71232 en-US MIT-CSAIL-TR-2012-017 31 p. application/pdf
spellingShingle higher-order beliefs
higher-order rationality
revenue
Chen, Jing
Micali, Silvio
Pass, Rafael
Epistemic Implementation and The Arbitrary-Belief Auction
title Epistemic Implementation and The Arbitrary-Belief Auction
title_full Epistemic Implementation and The Arbitrary-Belief Auction
title_fullStr Epistemic Implementation and The Arbitrary-Belief Auction
title_full_unstemmed Epistemic Implementation and The Arbitrary-Belief Auction
title_short Epistemic Implementation and The Arbitrary-Belief Auction
title_sort epistemic implementation and the arbitrary belief auction
topic higher-order beliefs
higher-order rationality
revenue
url http://hdl.handle.net/1721.1/71232
work_keys_str_mv AT chenjing epistemicimplementationandthearbitrarybeliefauction
AT micalisilvio epistemicimplementationandthearbitrarybeliefauction
AT passrafael epistemicimplementationandthearbitrarybeliefauction