James R. Wright
Hello, I'm James Wright. I'm a Ph.D. student in the Department of Computer Science at the University of British Columbia. I'm a member of the Laboratory for Computational Intelligence. My supervisor is Kevin Leyton-Brown.
Research
I am interested in predicting how human agents behave in the presence of incentives, using models derived from experimental and behavioral economics. I recently conducted a meta-study of different cognitively motivated models of so-called "one-shot" interactions from behavioral game theory. My two current focuses are: (1) Refining the predictions of the best-performing one-shot model by incorporating additional elements of experimental models, and; (2) Expanding my focus to models of dynamic and repeated interactions, using data on real-world interactions.Curriculum Vitae
My academic CV is available as both an HTML page and a PDF document.Publications
- Behavioral Game-Theoretic Models: A Bayesian Framework For Parameter Analysis.
James R. Wright and Kevin Leyton-Brown.
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pages 921–928, 2012.
Best student paper (runner up). - Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in n-player games.
James R. Wright, Albert Xin Jiang, and Kevin Leyton-Brown.
SIGecom Exchanges, volume 10, number 1, pages 9–12, 2011. - Beyond Equilibrium: Predicting Human Behavior in Normal Form Games.
James R. Wright and Kevin Leyton-Brown.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), pages 901–907, 2010.
Working Papers
- Evaluating, Understanding, and Improving Behavioral Game Theory Models
For Predicting Human Behavior in Unrepeated Normal-Form Games.
James R. Wright and Kevin Leyton-Brown.
Personal
I have a separate personal site for my hobby programming projects.
Last update: Oct 4/2012