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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 4 Monaten

with Mohan Sridharan, Özgür Şimşek and Gerd Gigerenzer

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1:08:45

Podcast

InterSpaces

29 Episoden

an interdisciplinary research podcast

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Podcast aneignen

Since September 2025 the long-term research 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 we 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 conveners 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.