AI Meets Psychology and Systems
This project investigates how advanced AI systems can augment human competence in creativity, learning, and scientific reasoning, combining psychological research on human–AI interaction with algorithmic modeling and multi-agent system design.
🧑🎓 IOL Project Members
gonnermann-mueller (at) zib.de
igel (at) zib.de
fischer (at) zib.de
leins (at) zib.de
geronimus (at) zib.de
🤝 External Project Members
🔬 Project Description
A collaboration between the Weizenbaum Institute, HU Berlin, and ZIB, this project develops and evaluates coordinated, agentic AI architectures that support complex cognitive and educational processes under meaningful human control.
The research spans two pillars: foundational understanding of LLM capabilities for simulating human behavior and social interaction, including frameworks of Human–AI Co-Creativity; and applied system development, producing the Synthetic Divergent Association Task (S-DAT) for automated creativity assessment and FACET, a multi-agent architecture for teacher-centered personalized worksheet generation.