Are there ways to fit agent-based models (ABMs) to empirical data and compare models, as we do in computational (cognitive) neuroscience?

Just graduated! 🎓✨
Thanks @AarhusUni_int Cogsci

Last week, I was in
#Trondheim at Norwegian University of Science and Technology for the #Probabilistic AI School (ProbAI) summer school. It was a fantastic experience

I will be in Trondheim until June 20th for the probAI summer school. If you are interested in computational/cognitive science, free to reach out.

Very proud to have run my first 5km 🏃‍♂️ 😊

✨We are organising (again) an online workshop on Theoretical Modeling for PhD candidates and Master students in cognitive science and psychology. Check out the website and the schedule: Registration is open! (closes July 1, spaces are limited) 🧵1/n computationalcognitivescience.github.io/workshop/

I’ll be in Paris next week and would love to connect with people in cognitive science, AI, or photography :)

What are some equations or modeling approaches that are from different communities and are applied to different phenomena but you find them similar, the same, or very similar?
Example: a paper showed how replicator dynamics in evolutionary models are somewhat isomorphic with Bayes equations.

We're hiring an assistant professor at the intersection btw cognitive modeling of language / social interaction, computational ling / lang technologies. Exciting environment / great work-life balance / amazing students.
international.au.dk/about/profil... Get in touch if interested!

If you could recommend a book or article from your discipline/specialty in cognitive science, artificial intelligence, or evolutionary anthropology for 2024 trends, what would it be? Looking forward to your suggestions!