Title: "Knowledge Representation in Decision Making"
Abstract: I discuss how insights from computational linguistics and machine learning can be used to build models of human judgement and decision making with realistic knowledge representations about the world. 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 natural language decision problems, and moreover, mimic human responses to these problems. These models shed light on the processes at play in everyday decisions, and illustrate a novel approach to studying behavior.
About Sudeep Bhatia, PhD: He is an Assistant Professor of Psychology and Researcher at the University of Pennsylvania. Dr. Bhatia studies the cognitive basis of human judgement and decision making with the use of mathematical and computational models. Particularly, he applies methodological insights from semantic memory research and computational linguistics to uncover knowledge representations for objects, attributes, and events that are the focus of everyday judgement and decision tasks.
