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Man vs. model – game theoretic insights on AI in auctions | with Vitali Gretschko

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Manage episode 486520218 series 3344349
Content provided by TWS Partners. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TWS Partners or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode we are talking to Vitali Gretschko about how generative AI can be used to simulate strategic behaviour in auctions. We explore where AI tools can support auction design, where they fall short, and how practitioners should interpret simulation results. Vitali also explains why AI is best seen as a co-intelligence that needs expert guidance.

Vitali Gretschko is Professor for sustainable Market Design at the University of Münster. His research focuses on auction theory, market design, and applying game theory to practical strategic problems.

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 486520218 series 3344349
Content provided by TWS Partners. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TWS Partners or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode we are talking to Vitali Gretschko about how generative AI can be used to simulate strategic behaviour in auctions. We explore where AI tools can support auction design, where they fall short, and how practitioners should interpret simulation results. Vitali also explains why AI is best seen as a co-intelligence that needs expert guidance.

Vitali Gretschko is Professor for sustainable Market Design at the University of Münster. His research focuses on auction theory, market design, and applying game theory to practical strategic problems.

  continue reading

100 episodes

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