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

Dana Houston dhouston at cs.cmu.edu
Mon Apr 23 08:51:53 EDT 2012




>
>
>
>> =========================================================
>> 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



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