Algorithmic Persuasion with No Externalities-Reference-Cited by-同舟云学术

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Algorithmic Persuasion with No Externalities

Published:2017-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM Conference on Economics and Computation
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Author:

Dughmi Shaddin¹,Xu Haifeng¹

Affiliation:

1. University of Southern California, Los Angeles, CA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3033274.3085152

Reference18 articles.

1. Persuading Voters

2. Itai Arieli and Yakov Babichenko. 2016. Private Bayesian persuasion. Available at SSRN 2721307 (2016). Itai Arieli and Yakov Babichenko. 2016. Private Bayesian persuasion. Available at SSRN 2721307 (2016).

3. Arjada Bardhi and Yingni Guo. 2016. Modes of Persuasion Toward Unanimous Consent. Working paper (2016). Arjada Bardhi and Yingni Guo. 2016. Modes of Persuasion Toward Unanimous Consent. Working paper (2016).

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1. Delegated online search;Artificial Intelligence;2024-09

2. Learning to Persuade on the Fly: Robustness Against Ignorance;Operations Research;2024-06-18

3. Reducing the Gap Between Theory and Applications in Algorithmic Bayesian Persuasion;SpringerBriefs in Applied Sciences and Technology;2024

4. Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive;Algorithmica;2023-04-19

5. Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More;Games;2023-01-30

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