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DTSTART:20180311T070000
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DTSTART:20171105T060000
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DTSTART;TZID=America/Toronto:20180312T103000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-pr
 edicting-human-strategic-behavior-behavorial
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Predicting Human Strategic Behavior: From Behavorial\nE
 conomics to Deep Learning
CLASS:PUBLIC
DESCRIPTION:Speaker: James Wright\, Microsoft Research\n\nIn order to do a 
 good job of interacting with people\, a system must\nhave an adequate mode
 l of how people will react to its actions. This\nis particularly true in s
 trategic settings: settings that contain\nmultiple agents\, each with thei
 r own goals and priorities\, in which\neach agent's ability to accomplish 
 their goals depends partly on the\nactions of the other agents. Standard m
 odels of strategic behavior\nassume that the participants are perfectly ra
 tional. However\, a wealth\nof experimental evidence shows that not only d
 o human agents fail to\nbehave according to these models\, but that they f
 requently deviate\nfrom these models' predictions in a predictable\, syste
 matic way.
DTSTAMP:20260316T060656Z
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