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LANS Seminar
Seminar Title: Generalizations and Extensions of Bounded-Confidence Models
Speaker: Jerry Luo, Postdoc, Knowledge Lab, University of Chicago
Date: Thursday, April 30, 2026
Time: 2:30 PM-3:30 PM (In-Person)
Location: Hybrid, Bldg. 240, Conference Room 4301
Host: Dominic Yang
Description: People’s opinions change with time as they interact with each other. In a bounded-confidence model (BCM) of opinion dynamics, individuals (which are represented by the nodes of a network) have continuous-valued opinions and are influenced by neighboring nodes whose opinions are sufficiently similar to theirs (i.e., are within a confidence bound). In this talk, I will introduce and formulate some extensions of the Hegselmann–Krause and Deffuant–Weisbuch BCMs with several “adaptive” features. I will discuss some of the analytical and numerical findings on our extended BCMs, which provide insight into their dynamics, including some qualitative behaviors that are absent in the associated baseline BCMs.
Bio: Jerry Luo is a postdoc in the Knowledge Lab at the University of Chicago, where I’m working with Professor James Evans. I received my Ph.D. (in applied mathematics) at UCLA, where my advisor was Mason Porter. My primary research interests are in topological data analysis and complex social systems.
Please note that the meeting URL for this event can be seen on the cels-seminars website which requires an Argonne login.