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Episode #25: Robust Decision Heuristics for Natural and Artificial Intelligence

Episode #25: Robust Decision Heuristics for Natural and Artificial Intelligence

InterSpaces vor 6 Monaten

with Mohan Sridharan, Özgür Şimşek and Gerd Gigerenzer

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1:08:45

Since September 2025 the Long-Term Group “Robust Decision
Heuristics for Natural and Artificial Intelligence” is working at
ZiF. The group seeks to bridge the study of decision-making under
uncertainty in natural systems and the design of robust AI
systems. Here, "natural systems" is primarily a reference to
humans but they will also consider insects because they have
simpler decision processes.

The goal of the researchers more specifically is to explore the
design of algorithms for robust and transparent AI systems by
drawing on models of decision processes under uncertainty in
natural systems; and to explore the design of AI systems driven
by decision heuristics to gain new understanding about
decision-making in natural systems.

In this episode the convenors of the group, Mohan Sridharan
(Chair in Robot Systems, Edinburgh), Özgür Şimşek (Professor of
Computer Science, Bath) and psychologist Gerd Gigerenzer (Berlin)
talk about the many facets of their research, covering human
decision-making as well as robot soccer. They also discuss the
necessity and the challenges of interdisciplinary
collaboration.

Links

Mohan Sridharan

Özgür Şimşek

Gerd Gigerenzer

ZiF Long-Term Group “Robust Decision Heuristics for Natural
and Artificial Intelligence”

We are grateful for the intro by Niklas Schönfeld, for the voice
recordings of Molina Panzner and Erica Shires and for the podcast
cover by Corinna Mehl.

If you have any questions, feedback or suggestions, you can email
the ZiF communications team at zif-info@uni-bielefeld.de or get
in touch via Instagram at @zif_bielefeld.