Designing all-pay auctions using deep learning and multi-agent simulation

We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocations resulting in different incentives and bidding behaviors. In contrast to auctions design...

Descripción completa

Detalles Bibliográficos
Autores principales: Gemp, Ian, Anthony, Thomas, Kramar, Janos, Eccles, Tom, Tacchetti, Andrea, Bachrach, Yoram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547898/
https://www.ncbi.nlm.nih.gov/pubmed/36209288
http://dx.doi.org/10.1038/s41598-022-20234-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547898/
https://www.ncbi.nlm.nih.gov/pubmed/36209288
http://dx.doi.org/10.1038/s41598-022-20234-3

Ejemplares similares