Alma mater Stanford University Fields Computer Science Residence Canada | Education Stanford University Name Kevin Leyton-Brown Doctoral advisor Yoav Shoham | |
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Institutions University of British Columbia Notable awards NSERC E.W.R. Steacie Memorial Fellowship Books Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations | ||
Nicta org seminar kevin leyton brown predicting human behavior in normal form games
Kevin Leyton-Brown (born 1975) is a Professor of Computer Science at the University of British Columbia. He received his Ph.D. at Stanford University in 2003. He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. Leyton-Brown co-teaches a popular game theory course on Coursera.org, along with Matthew O. Jackson and Yoav Shoham. Leyton-Brown serves as an associate editor for the Journal of Artificial Intelligence Research, the Artificial Intelligence Journal, and ACM Transactions on Economics and Computation, and was program chair for the ACM Conference on Electronic Commerce in 2012. Leyton-Brown and coauthors have received the IJCAI-JAIR Best Paper Prize and numerous medals in international SAT competitions (2003–12).
Contents
- Nicta org seminar kevin leyton brown predicting human behavior in normal form games
- Kevin leyton brown empirical hardness models
- Selected publications
- References
Leyton-Brown's research is at the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also studies the application of machine learning to the automated design and analysis of algorithms for solving hard computational problems.