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Kevin Leyton-Brown

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What are the essentials to game theory? How is machine learning used in our day-to-day lives? Can microeconomists and computer scientists work together to build a more stable society? In this week's episode of STEMPOWER, we interview Dr. Kevin Leyton-Brown, a Professor of Computer Science at the University of British Columbia. Dr. Leyton-Brown answers all questions game-theory-related and shares some great advice for students wishing to go into the field of computer science!

What is Game Theory? | Dr. Kevin Leyton-Brown

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-BrownBooks http://www.masfoundations.org/http://www.gtessentials.org/ Coursera courses: https://www.coursera.org/instructor/kevinlbAAAI fellow: https://twitter.com/RealAAAI/status/947985533887684608Twitter: https://twitter.com/k_leyton_brown Assorted links: Franz Edelman award recipient: https://www.informs.org/Recognizing-Excellence/Award-Recipients/Federal-Communications-CommissionKudu: https://kudu.ug/about/Papers:Deep Learning for Predicting Human Strategic InteractionPredicting Human Behavior in Unrepeated, Simultaneous-Move GamesIncentives for Sharing in Peer-to-Peer NetworksTalks:https://www.youtube.com/watch?v=Q7WAt5KvgvUhttps://www.youtube.com/watch?v=w4yvpOLd-5M https://video.seas.harvard.edu/media/CS+Colloquium+Kevin+Leyton-Brown+2018-06-04/1_k1d32qgw/13151421John 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.fmFollow 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/3.0Chipper Doodle Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License: http://creativecommons.org/licenses/by/3.0   The post Kevin Leyton-Brown on the kitten algorithm, computer science, and economics appeared first on Luminary.fm.

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: <ul><li>Website: <a href="https://www.cs.ubc.ca/~kevinlb/" rel="nofollow" target="_blank">https://www.cs.ubc.ca/~kevinlb/</a></li><li>Wikipedia: <a href="https://en.wikipedia.org/wiki/Kevin_Leyton-Brown" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Kevin_Leyton-Brown</a></li><li>Books <ul><li><a href="http://www.masfoundations.org/" rel="nofollow" target="_blank">http://www.masfoundations.org/</a></li><li><a href="http://www.gtessentials.org/" rel="nofollow" target="_blank">http://www.gtessentials.org/</a> </li></ul></li><li>Coursera courses: <a href="https://www.coursera.org/instructor/kevinlb" rel="nofollow" target="_blank">https://www.coursera.org/instructor/kevinlb</a></li><li>AAAI fellow: <a href="https://twitter.com/RealAAAI/status/947985533887684608" rel="nofollow" target="_blank">https://twitter.com/RealAAAI/status/947985533887684608</a></li><li>Twitter: <a href="https://twitter.com/k_leyton_brown?lang=en" rel="nofollow" target="_blank">https://twitter.com/k_leyton_brown</a></li></ul> Assorted links: <ul><li>Franz Edelman award recipient: <a href="https://www.informs.org/Recognizing-Excellence/Award-Recipients/Federal-Communications-Commission" rel="nofollow" target="_blank">https://www.informs.org/Recognizing-Excellence/Award-Recipients/Federal-Communications-Commission</a></li><li>Kudu: <a href="https://kudu.ug/about/" rel="nofollow" target="_blank">https://kudu.ug/about/</a></li><li>Papers:<ul><li><a href="https://www.cs.ubc.ca/~kevinlb/papers/2016-NIPS-Gamenet.pdf" rel="nofollow" target="_blank">Deep Learning for Predicting Human Strategic Interaction</a></li><li><a href="https://arxiv.org/pdf/1306.0918.pdf" rel="nofollow" target="_blank">Predicting Human Behavior in Unrepeated, Simultaneous-Move Games</a></li><li><a href="http://crypto.stanford.edu/~pgolle/papers/peer.pdf" rel="nofollow" target="_blank">Incentives for Sharing in Peer-to-Peer Networks</a></li></ul></li><li>Talks:<ul><li><a href="https://www.youtube.com/watch?v=Q7WAt5KvgvU" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=Q7WAt5KvgvU</a></li><li><a href="https://www.youtube.com/watch?v=w4yvpOLd-5M" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=w4yvpOLd-5M </a></li><li><a href="https://video.seas.harvard.edu/media/CS+Colloquium+Kevin+Leyton-Brown+2018-06-04/1_k1d32qgw/13151421" rel="nofollow" target="_blank">https://video.seas.harvard.edu/media/CS+Colloquium+Kevin+Leyton-Brown+2018-06-04/1_k1d32qgw/13151421</a></li></ul></li><li>John Nash: <a href="https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr." rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr.</a></li><li>Theory of Games and Economic Behavior: <a href="https://en.wikipedia.org/wiki/Theory_of_Games_and_Economic_Behavior" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Theory_of_Games_and_Economic_Behavior </a></li></ul> Luminary Podcast: <ul><li>Visit us:  <a href="https://twitter.com/desaimihira?lang=en" rel="nofollow" target="_blank">https://</a><a href="http://www.luminary.fm" rel="nofollow" target="_blank">www.luminary.fm</a></li><li>Follow us on Twitter: <a href="https://www.twitter.com/luminaryfm" rel="nofollow" target="_blank">https://www.twitter.com/luminaryfm</a> </li></ul> Music: <ul><li>Music used in this podcast: Simplex Kevin MacLeod (<a href="http://incompetech.com/" rel="nofollow" target="_blank">incompetech.com</a>) Licensed under Creative Commons: By Attribution 3.0 License: <a href="http://creativecommons.org/licenses/by/3.0/" rel="nofollow" target="_blank">http://creativecommons.org/licenses/by/3.0</a></li><li>Chipper Doodle Kevin MacLeod (<a href="http://incompetech.com" rel="nofollow" target="_blank">incompetech.com</a>) Licensed under Creative Commons: By Attribution 3.0 License: <a href="http://creativecommons.org/licenses/by/3.0" rel="nofollow" target="_blank">http://creativecommons.org/licenses/by/3.0</a> </li></ul> The post <a href="https://luminary.fm/episode/kevin-leyton-brown-on-the-kitten-algorithm-computer-science-and-economics/" rel="nofollow" target="_blank">Kevin Leyton-Brown on the kitten algorithm, computer science, and economics</a> appeared first on <a href="https://luminary.fm" rel="nofollow" target="_blank">Luminary.fm</a>.

Kevin Leyton-Brown on the kitten algorithm, computer science, and economics

My guest today is Kevin Leyton-Brown, he is a Professor of Computer Science at the University of British Columbia. Kevin's work involves not only computer science topics such as artificial intelligence, but also game theory, and the intersection between the two. Our topic for today is an app that Kevin co-founded called Kudu, which uses double auctions to help Ugandan farmers trade more effectively. Kevin was interested in using his skills to help people in the developing world, so during a sabbatical seven years ago, he resolved to go to a country in sub-Saharan Africa to do just that. He settled on Uganda and, after living there for a time, noticed something peculiar about the market for agricultural goods there. In the city, you would sometimes find vendors selling goods at very high prices, and even running out. Meanwhile, in the countryside, vendors would have so much stock they would be selling at extremely low prices, even rotting before they could be sold. Kevin, along with his partners John Quinn and Richard Ssekibuule, set out to help the locals seize these apparent arbitrage opportunities by constructing a platform to allow buyers and sellers in these markets to trade with one another at competitive prices. Most Ugandans have cell phones. Not fancy smartphones (as I wrongly guessed) but basic flip phones. So Kevin and his partners decided to set up a platform by which people could make bids and asks using a basic text-message system, and that system turned into Kudu. The platform has facilitated $1.5 million USD worth of confirmed trades, and it has made the prices of agricultural goods much more transparent for everyone trading in these markets. Related links:  Myerson–Satterthwaite theorem  Vickrey–Clarke–Groves mechanism

My guest today is <a href="http://www.cs.ubc.ca/~kevinlb/" rel="nofollow" target="_blank">Kevin Leyton-Brown</a>, he is a Professor of Computer Science at the University of British Columbia. Kevin's work involves not only computer science topics such as artificial intelligence, but also game theory, and the intersection between the two. Our topic for today is an app that Kevin co-founded called <a href="http://kudu.ug/about/" rel="nofollow" target="_blank">Kudu</a>, which uses double auctions to help Ugandan farmers trade more effectively. Kevin was interested in using his skills to help people in the developing world, so during a sabbatical seven years ago, he resolved to go to a country in sub-Saharan Africa to do just that. He settled on Uganda and, after living there for a time, noticed something peculiar about the market for agricultural goods there. In the city, you would sometimes find vendors selling goods at very high prices, and even running out. Meanwhile, in the countryside, vendors would have so much stock they would be selling at extremely low prices, even rotting before they could be sold. Kevin, along with his partners John Quinn and Richard Ssekibuule, set out to help the locals seize these apparent arbitrage opportunities by constructing a platform to allow buyers and sellers in these markets to trade with one another at competitive prices. Most Ugandans have cell phones. Not fancy smartphones (as I wrongly guessed) but basic flip phones. So Kevin and his partners decided to set up a platform by which people could make bids and asks using a basic text-message system, and that system turned into Kudu. The platform has facilitated $1.5 million USD worth of confirmed trades, and it has made the prices of agricultural goods much more transparent for everyone trading in these markets. Related links: <a href="https://en.wikipedia.org/wiki/Myerson%E2%80%93Satterthwaite_theorem" rel="nofollow" target="_blank"> Myerson–Satterthwaite theorem</a> <a href="https://en.wikipedia.org/wiki/Vickrey%E2%80%93Clarke%E2%80%93Groves_mechanism" rel="nofollow" target="_blank"> Vickrey–Clarke–Groves mechanism</a>

Technology, Mechanism Design, and Ugandan Agricultural Markets with Kevin Leyton-Brown