Date: 17^th July, 2019

Time: 14:30-16:00 p.m.

Venue: Room 1004, The Administration Building, Zhejiang University

【Speaker Introduction】：Sudeep Bhatia is an assistant professor at the Wharton School and the Department of Psychology, University of Pennsylvania. He holds a PhD in Behavioral Decision Research from Carnegie Mellon University. He worked in the Behavioral Science Group at the University of Warwick before he moved to University of Pennsylvania. His research interest is to use behavioral experiments and computational modeling to study how people think, judge, and decide. His research was published in top academic journals such as Management Science, and Psychological Review.

【Lecture Abstract】：I discuss how insights from machine learning and data science can be used to build models of decision making with human-like knowledge representations. In addition to specifying the cognitive mechanisms people use to form beliefs and preferences, these models also represent the information on which these mechanisms operate. Subsequently, they are able to deliberate over and respond to a large variety of naturalistic decision problems, and moreover, mimic human responses to these problems. These models shed light on the processes at play in everyday decision making, and illustrate a novel approach to studying behavior.