392241 Applied Cognitive Computing: Learning Models for Behavior Generation and Understanding (S) (SoSe 2021)
Contents, comment
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Information: Due to the current situation, we will try to hold the seminar by means of live video conferences (the official tool is zoom.us).
Watch and Help: How to infer tasks and produce helpful social behavior?
In this seminar we explore different ways of generating (social) behavior within a rich virtual home environment as well as learn models from observations that allow the inference of the mental states that caused this behavior.
The seminar will first review and discuss state-of-the art methods for behavior generation as well as interpretation before splitting into multiple smaller groups that each work on either learning suitable behavior generation or interpretation within a given virtual environment.
This seminar will be held online via regular Zoom-Meetings, initially with all participants, and later primarily in the smaller groups.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
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 |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- E-Learning Space
- E-Learning Space
- Registered number: 43
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- Address:
- SS2021_392241@ekvv.uni-bielefeld.de
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- Coverage:
- 18 Students to be reached directly via email
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- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Wednesday, January 13, 2021
- Last update times:
- Tuesday, December 22, 2020
- Last update rooms:
- Tuesday, December 22, 2020
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Department
- Faculty of Technology
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- 256432087