Economics Amplified: When Game Theory Gets Complicated

UChicago Economics Events and Conversations

UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

9y ago 12:33

MP3•에피소드 홈

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 05, 2023 10:43 (1y ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

In today’s episode we talk with Ben Brooks, a research fellow at the Becker Friedman Institute interested in how incomplete information complicates classical game theory. This summer, Brooks organized a conference, bringing together experts in mathematical modeling, incomplete information and game theory. Researchers highlighted important developments in modeling information in auctions and continuous games, as well as the relationship between information and behavior in the era of the internet and big data.

55 에피소드