Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality

Mechanism design enables a social planner to obtain a desired outcome by leveraging the players’ rationality and their beliefs. It is thus a fundamental, but yet unproven, intuition that the higher the level of rationality of the players, the better the set of obtainable outcomes. In this paper, we...

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Main Authors: Chen, Jing, Micali, Silvio, Pass, Rafael
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: The Econometric Society 2016
Online Access:http://hdl.handle.net/1721.1/100963
https://orcid.org/0000-0002-0816-4064
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author Chen, Jing
Micali, Silvio
Pass, Rafael
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Chen, Jing
Micali, Silvio
Pass, Rafael
author_sort Chen, Jing
collection MIT
description Mechanism design enables a social planner to obtain a desired outcome by leveraging the players’ rationality and their beliefs. It is thus a fundamental, but yet unproven, intuition that the higher the level of rationality of the players, the better the set of obtainable outcomes. In this paper, we prove this fundamental intuition for players with possibilistic beliefs, a model long considered in epistemic game theory. Specifically, • We define a sequence of monotonically increasing revenue benchmarks for single-good auctions, G[superscript 0≤]G[superscript 1≤]G[superscript 2≤]···,where each G[superscript i] is defined over the players’ beliefs and G[superscript 0] is the second-highest valuation (i.e., the revenue benchmark achieved by the second-price mechanism). • We (1) construct a single, interim individually rational, auction mechanism that, without any clue about the rationality level of the players, guarantees revenue G[superscript k] if all players have rationality levels ≥ k + 1, and (2) prove that no such mechanism can guarantee revenue even close to G[superscript k] when at least two players are at most level- k rational.
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spelling mit-1721.1/1009632022-10-02T08:32:02Z Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality Chen, Jing Micali, Silvio Pass, Rafael Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Micali, Silvio Mechanism design enables a social planner to obtain a desired outcome by leveraging the players’ rationality and their beliefs. It is thus a fundamental, but yet unproven, intuition that the higher the level of rationality of the players, the better the set of obtainable outcomes. In this paper, we prove this fundamental intuition for players with possibilistic beliefs, a model long considered in epistemic game theory. Specifically, • We define a sequence of monotonically increasing revenue benchmarks for single-good auctions, G[superscript 0≤]G[superscript 1≤]G[superscript 2≤]···,where each G[superscript i] is defined over the players’ beliefs and G[superscript 0] is the second-highest valuation (i.e., the revenue benchmark achieved by the second-price mechanism). • We (1) construct a single, interim individually rational, auction mechanism that, without any clue about the rationality level of the players, guarantees revenue G[superscript k] if all players have rationality levels ≥ k + 1, and (2) prove that no such mechanism can guarantee revenue even close to G[superscript k] when at least two players are at most level- k rational. United States. Office of Naval Research (Grant N00014-09-1-0597) 2016-01-21T00:56:21Z 2016-01-21T00:56:21Z 2015-07 Article http://purl.org/eprint/type/JournalArticle 0012-9682 1468-0262 http://hdl.handle.net/1721.1/100963 Chen, Jing, Silvio Micali, and Rafael Pass. “Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality.” Econometrica 83, no. 4 (2015): 1619–1639. https://orcid.org/0000-0002-0816-4064 en_US http://dx.doi.org/10.3982/ECTA12563 Econometrica Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf The Econometric Society Other univ. web domain
spellingShingle Chen, Jing
Micali, Silvio
Pass, Rafael
Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title_full Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title_fullStr Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title_full_unstemmed Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title_short Tight Revenue Bounds With Possibilistic Beliefs and Level-k Rationality
title_sort tight revenue bounds with possibilistic beliefs and level k rationality
url http://hdl.handle.net/1721.1/100963
https://orcid.org/0000-0002-0816-4064
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