392241 Applied Cognitive Computing: Deep reinforcement learning with bounded rationality (S) (SoSe 2024)

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Information: We will try to hold the seminar in person, if necessary we will switch to live video conferences (the official tool is zoom.us).

Agents (e.g. people) are generally considered to be rational, i.e. that they choose their actions in such a way as to maximize their expected utility. However, finding the optimal action is often infeasible with limited, or bounded resources.
Since all cognitive agents (including) humans, only have limited resources available to them, the best they can do is to achieve what is called „bounded-rationality“, which can lead to (systematic) deviations from „optimal behavior“.

In this seminar, we look more closely into these deviations and the different possible causes for them. We will further discuss ways of dealing with these deviations from the point of artificial systems that either themselves face
an infeasible problem and/or aim to interact with people.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mo 12-14 CITEC 08.04.-19.07.2024
not on: 5/20/24 / 7/15/24
one-time Mo 12-14 X-E0-200 15.07.2024

Subject assignments

Module Course Requirements  
39-Inf-KR Cognitive Computing / Kognitives Rechnen Angewandtes Kognitives Rechnen Student information
- Ungraded examination Student information
39-M-Inf-VKI Vertiefung Künstliche Intelligenz Spezielle Themen der Künstlichen Intelligenz Ungraded examination
Graded examination
Student information

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Registered number: 26
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SS2024_392241@ekvv.uni-bielefeld.de
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26 Students to be reached directly via email
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Last update basic details/teaching staff:
Wednesday, February 28, 2024 
Last update times:
Friday, March 1, 2024 
Last update rooms:
Friday, March 1, 2024 
Type(s) / SWS (hours per week per semester)
S / 2
Department
Faculty of Technology
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461484641