The talk is streamed via Zoom. Join URL:  https://aarhusuniversity.zoom.us/j/66001885151 to attend. 

Speaker: Arthur Hjorth, Postdoc at the Department of Physics and Astronomy, Aarhus University

Abstract

Agent-Based Modeling (ABMs) is a bottom-up computational modeling technique that uses individual agents and their interactions to simulate population-level patterns. ABMs are widely used across all scientific disciplines to investigate phenomena that cross multiple scales: From trading interactions in ancient Rome, over how political opinions form and spread in social networks, to how birds aggregate in flocks, ABM's enable us to understand processes and causal mechanisms that drive complex behaviors.

In the talk, I will introduce Agent-Based Modeling and Complexity Science principles and concepts. I will use the example of COVID19 to discuss some shortcomings of traditional, 2-level Agent-Based Models. I will then present Multi-Level Agent-Based Modeling, an emerging approach that increases the level of detail that we can feasibly model at, and consequently opens up for a wider collaboration across disciplinary boundaries.

Short bio  

See Arthur Hjorth's profile at Aarhus University

What is an AIAS Seminar?

The AIAS Seminar is a session of seminars held by the AIAS fellow or by other speakers proposed by the fellows. In each seminar, one fellow will present and discuss his/her current research and research project, closing off with a question and discussion session.

All seminars are held in English.