392102 Übungen zu Cognitive Computing: Reasoning and Decision-Making Under Uncertainty (Ü) (WiSe 2023/2024)
Contents, comment
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An essential requirement for artificial systems is the ability to deal with uncertainties. This ability is particularly important in intelligent and autonomous systems in which uncertainties arise, e.g. with regard to perception (What did I see? What didn't I see?), knowledge (How accurate, complete or up-to-date is my knowledge?), reasoning (How valid is my inference?) or actions (How good is my decision? Did I achieve everything?). In this lecture, techniques of reasoning and decision making under incomplete and uncertain knowledge are taught (graphical probabilistic model, Bayes/Markov networks, Markov decision processes, machine learning), which are used today in artificial intelligence and robotics to construct intelligent autonomous agents. In addition to the mathematical basics, the algorithms are also taught in the lecture. In the accompanying exercises, this is practically deepened in the form of small projects in Python.
Bibliography
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(Siehe Eintrag zur Vorlesung)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-EGMI Ergänzungsmodul Informatik | vertiefende Übung 1.1 zu einer Vorlesung | Ungraded examination
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Student information |
| vertiefende Übung 1.2 zu einer Vorlesung | Ungraded examination
|
Student information | |
| vertiefende Übung 1.3 zu einer Vorlesung | Ungraded examination
|
Student information | |
| 39-Inf-KR Cognitive Computing / Kognitives Rechnen | Kognitives Rechnen | Student information | |
| 39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) | Begleitende Veranstaltung Seminar o. Übung | Student information | |
| 39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus) | Advanced Artificial Intelligence (focus): Übung | Student information | |
| 39-M-Inf-AI-bas Basics of Artificial Intelligence | Basics of Artificial Intelligence: Übung | Student information | |
| 39-M-Inf-VKI Vertiefung Künstliche Intelligenz | Spezielle Themen der Künstlichen Intelligenz | Student information | |
| 39-M-Inf-VKIa Vertiefung Künstliche Intelligenz (5 LP) | Spezielle Themen der Künstlichen Intelligenz | 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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |
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- Last update basic details/teaching staff:
- Monday, October 16, 2023
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- Monday, October 16, 2023
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- Monday, October 16, 2023
- Type(s) / SWS (hours per week per semester)
- Ü / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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