Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Friday, November 4, 2016 - 12:00 to 13:00
GLK 115

Speaker Info

Sailfan Research, Inc; Washington State University, Dept. of Mathematic

Opinion dynamics models are used to reason about the transmission, change, and stability of opinions within a population of agents. The core components of such a model are the mechanism for modeling interaction and the mechanism for updating the opinion held by agents after interaction. Models of such systems date back to the 1950s and continue to be studied today. Their applicability ranges from the study of social dynamics of humans to interactions in synthetic systems such as distributed agent based-ones in which the concept of “opinion” maps to one or more state variables that are updated during agent interactions.

This talk will present ongoing research work that involves the creation of a generalized framework for opinion dynamics models based on interactions represented via potentials, with opinion updates based on the minimization of all possible interactions within the population. We have shown that existing linear models can be represented in our framework. Furthermore, we can represent models that capture dynamics that cannot be represented by prior models. Finally, we also introduce a new concept of opinion coupling that has not been well studied or modeled.

This work is a joint effort between H. Noorazar (WSU PhD student), M. Sottile (WSU Math Grad Fac.), and K. Vixie (WSU Math Prof).