Kevin Leyton-Brown is an award-winning computer scientist focusing on predominantly two streams of research: 1) algorithmic game theory and 2) empirical algorithms and machine learning. He is a professor of computer science at University of British Columbia and co-teaches two popular Coursera courses on game theory, which are approaching one million participants.
In our conversation with Kevin, we cover why the intersection of economics and computer science is particularly fertile, the art and science of modeling human strategic interaction and incentives in multi-agent systems, his work with the Federal Communications Commission incentive auction, moral and ethical implications of artificial intelligence, using AI to do good, applying the kitten algorithm, and much more.
About and from Prof. Kevin Leyton-Brown:
- Website: https://www.cs.ubc.ca/~kevinlb/
- Wikipedia: https://en.wikipedia.org/wiki/Kevin_Leyton-Brown
- Books
- Coursera courses: https://www.coursera.org/instructor/kevinlb
- AAAI fellow: https://twitter.com/RealAAAI/status/947985533887684608
- Twitter: https://twitter.com/k_leyton_brown
Assorted links:
- Franz Edelman award recipient: https://www.informs.org/Recognizing-Excellence/Award-Recipients/Federal-Communications-Commission
- Kudu: https://kudu.ug/about/
- Papers:
- Talks:
- John Nash: https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr.
- Theory of Games and Economic Behavior: https://en.wikipedia.org/wiki/Theory_of_Games_and_Economic_Behavior
Luminary Podcast:
- Visit us: https://www.luminary.fm
- Follow us on Twitter: https://www.twitter.com/luminaryfm
Music:
- Music used in this podcast: Simplex Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License: http://creativecommons.org/licenses/by/3.0 - Chipper Doodle Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License: http://creativecommons.org/licenses/by/3.0