The Price of Competitive Information Disclosure
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866911565844840448 |
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| author | Banerjee, Siddhartha Munagala, Kamesh Shen, Yiheng Wang, Kangning |
| author_facet | Banerjee, Siddhartha Munagala, Kamesh Shen, Yiheng Wang, Kangning |
| contents | In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this question, we consider a competitive Bayesian persuasion model in which multiple agents selectively disclose information about their qualities to a principal, who aims to choose the candidates with the highest qualities. Using the price-of-anarchy framework, we quantify the inefficiency of such strategic disclosure. We show that the price of anarchy is at most a constant when the agents have independent quality distributions, even if their utility functions are heterogeneous. This result provides the first theoretical guarantee on the limits of inefficiency in Bayesian persuasion with competitive information disclosure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_10459 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Price of Competitive Information Disclosure Banerjee, Siddhartha Munagala, Kamesh Shen, Yiheng Wang, Kangning Computer Science and Game Theory In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this question, we consider a competitive Bayesian persuasion model in which multiple agents selectively disclose information about their qualities to a principal, who aims to choose the candidates with the highest qualities. Using the price-of-anarchy framework, we quantify the inefficiency of such strategic disclosure. We show that the price of anarchy is at most a constant when the agents have independent quality distributions, even if their utility functions are heterogeneous. This result provides the first theoretical guarantee on the limits of inefficiency in Bayesian persuasion with competitive information disclosure. |
| title | The Price of Competitive Information Disclosure |
| topic | Computer Science and Game Theory |
| url | https://arxiv.org/abs/2504.10459 |