[Intelligence Seminar] April 24, 3:30pm:, Presentation by Kevin Leyton-Brown

[Dana Houston]

> =========================================================
> WE HAVE TWO INTELLIGENCE SEMINAR PRESENTATIONS NEXT WEEK:
>   PAUL ROSENBLOOM:    APRIL 23, 10:30AM, IN GHC 6501
>   KEVIN LEYTON-BROWN: APRIL 24,  3:30PM, IN GHC 4303
> THE ANNOUNCEMENT BELOW IS FOR THE SECOND PRESENTATION
> =========================================================
>
> INTELLIGENCE SEMINAR
> APRIL 24 AT 3:30PM, IN GHC 4303
>
> SPEAKER: KEVIN LEYTON-BROWN (University of British Columbia)
> Host: Ariel Procaccia
> For meetings, contact Dana Houston (dhouston at cs.cmu.edu)
>
> BEYOND EQUILIBRIUM: PREDICTING HUMAN BEHAVIOR IN NORMAL FORM GAMES
>
> It is standard in multiagent settings to assume that agents will adopt
> Nash equilibrium strategies. However, studies in experimental economics
> demonstrate that Nash equilibrium is a poor description of human players
> initial behavior in normal form games. In this talk, I will describe a
> wide
> range of widely studied models from behavioral game theory (BGT). For 
> what
> we believe is the first time, we evaluated each of these models in a
> meta-analysis, taking as our dataset large-scale and publicly available
> experimental data from the BGT literature. We also analyzed the 
> parameters
> of the best performing model, and identified ways of modifying it--and,
> indeed, simplifying it--to improve performance. In the end, our work
> demonstrates two surprising facts: one BGT model was consistently the
> best, and people are smarter than behavioral game theorists had thought.
>
> BIO
>
> Kevin Leyton-Brown is an associate professor in computer science at the
> University of British Columbia. He holds a Ph.D. and M.S. from Stanford
> University (2003; 2001) and a B.S. from McMaster University (1998). Much
> of his work 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. He has co-written two books, "Multiagent
> Systems" and "Essentials of Game Theory," and over seventy peer-refereed
> technical articles. He is the program chair for the ACM Conference on
> Electronic Commerce (ACM-EC), and an associate editor of the Journal of
> Artificial Intelligence Research (JAIR), the Artificial Intelligence
> Journal (AIJ), and ACM Transactions on Economics and Computation. He 
> split
> his 2010-2011 sabbatical between Makerere University in Kampala, Uganda,
> and the Institute for Advanced Studies at Hebrew University in Jerusalem,
> Israel. He has served as a consultant for Trading Dynamics Inc., Ariba
> Inc., and Cariocas Inc., and was a scientific advisor to Zite Inc. until
> it was acquired by CNN in 2011.
>
>

-- 
Dana M. Houston
Language Technologies Institute
School of Computer Science
Carnegie Mellon University
5405 Gates Hillman Complex
5000 Forbes Avenue
Pittsburgh, PA 15213

T:  (412)268-4717
F:  (412)268-6298