Computational Modeling of Cognition in a Social Context

Most areas of cognitive psychology have recognized the power of computational and mathematical models of individual cognition and have embraced the rigorous theorizing that modelling permits. This trend is illustrated by the growth in popularity of (Bayesian and non-Bayesian) approaches to modeling of cognition during the past few years. To date, however, those sophisticated models have concerned themselves virtually exclusively with the cognition and behavior of individuals, rather than with modeling the collective cognition among people interacting in groups.

In parallel, the new and exciting field of computational social science has burgeoned and has focused on modeling the interactions between members of groups and people in society at large. Computational social science uses tools that range from “big data” analyses and analysis of corpora of text to building models of collectives using an “agent-based” approach. To date, however, computational social scientists have largely made simplifying assumptions about the behavior of individual agents in their models.

The objective of the summer school on Computational Modeling of Cognition in a Social Context is to build a bridge between those two arenas that have thus far been pursued in parallel. The Summer School will be the first event, to our knowledge, that teaches students about modelling both individual cognition and the behavior of collectives of people. To this end, we have assembled a new team of instructors that spans both conventional cognitive modeling and computational social science.

On the first day of Computational Modeling of Cognition in a Social Context, attendees will present posters about their own work.

Click here to apply.

Applications will remain open until 1 April 2024.

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