Abstract
We study incentive-compatible mechanisms that maximize the Nash Social Welfare. Since traditional incentive-compatible mechanisms cannot maximize the Nash Social Welfare even approximately, we propose changing the traditional model. Inspired by a widely used charging method (e.g., royalties, a lawyer that charges some percentage of possible future compensation), we suggest charging the players some percentage of their value of the outcome. We call this model the percentage fee model.We show that there is a mechanism that maximizes exactly the Nash Social Welfare in every setting with non-negative valuations. Moreover, we prove an analog of Roberts theorem that essentially says that if the valuations are non-negative, then the only implementable social choice functions are those that maximize weighted variants of the Nash Social Welfare. We develop polynomial time incentive compatible approximation algorithms for the Nash Social Welfare with subadditive valuations and prove some hardness results.
Original language | English |
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Title of host publication | EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation |
Pages | 517-535 |
Number of pages | 19 |
ISBN (Electronic) | 9798400701047 |
DOIs | |
Publication status | Published - 9 Jul 2023 |
Event | 24th ACM Conference on Economics and Computation, EC 2023 - London, United Kingdom Duration: 9 Jul 2023 → 12 Jul 2023 |
Publication series
Series | EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation |
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Conference
Conference | 24th ACM Conference on Economics and Computation, EC 2023 |
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Country/Territory | United Kingdom |
City | London |
Period | 9/7/23 → 12/7/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- Economics and Econometrics
- Computational Mathematics
- Statistics and Probability