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392112 Übungen D zu Grundlagen Künstlicher Kognition (Ü) (WiSe 2021/2022)
Contents, comment
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Die Vorlesung vermittelt die Grundlagen der Modellierung von kognitiven Fähigkeiten in technischen Systemen. Das Ziel ist einen fundierten Überblick über die Herausforderungen und Ansätze zu gewinnen. Zunächst werden grundlegende Begriffe und Konzepte erläutert. Dazu wird die Sicht und Geschichte der Kognitionswissenschaft mit ihren Einflüssen aus verschiedenen Disziplinen nachgezeichnet. Aufbauend auf dem "Mind as machine"-Paradigma, das kognitive Leistungen als Informationsverarbeitung versteht, werden die Techniken der Künstlichen Intelligenz-Forschung eingeführt. Dazu gehören verschiedene Verfahren zur Repräsentation von Wissen, zum Schlussfolgern und zum Problemlösen (z.B. logikbasierte Kalküle, graphische Ansätze, Suche, Lernen). Abschließend werden weiterführende Methoden zur Konstruktion kognitiver Systeme besprochen.
Teaching staff
- Herr Prof. Dr.-Ing. Stefan Kopp
- Herr Hendric Voß
- Tutor: Felix Hülsmann
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mo | 14-16 | V2-121 | 11.10.2021-04.02.2022
not on: 11/1/21 / 12/27/21 / 1/3/22 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-13_b_ver1 Grundlagen künstlicher Kognition | Grundlagen künstlicher Kognition | 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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 | - | - | - | - | - | - |
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- Faculty of Technology
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