Project
EF-MA-Sys-3
Persona-Driven AI Agent Laboratories for Opinion Dynamics: Learning Effective Models from LLM Debates
Project Heads
Nataša Djurdjevac Conrad, Sebastian Pokutta, Christof Schütte
Project Members
N.N.
Project Duration
01.09.2026 – 31.08.2028
Located at
ZIB
Description
We propose a mathematical and computational “open laboratory” for opinion formation based on many AI agents with explicit personas debating an open issue (e.g. sustainable mobility). After each debate (interaction), agents are mapped to a low-dimensional opinion space and tracked over time. We then learn and calibrate effective opinion-dynamics models that match the observed trajectories, quantify when they fail, and study the impact of persona composition and external media interventions on the outcomes of the conversations. The result is a reproducible platform for hypothesis testing about opinion formation under heterogeneous identities.
Project Webpages
Selected Publications
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