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180077 SE New Trends in Cognitive Science (2013W)
Synthetic approaches: Understanding cognition by designing and building your own cognitive systems
Prüfungsimmanente Lehrveranstaltung
Labels
In this seminar we will be exploring some of the problems which led to the emergence of cognition in natural systems, by building our own artificial systems.
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 01.10. 13:00 - 15:00 Hörsaal 2i NIG 2.Stock C0228 (Vorbesprechung)
- Dienstag 22.10. 16:00 - 19:00 Hörsaal 3E NIG 3.Stock
- Freitag 08.11. 16:00 - 20:00 Hörsaal 3E NIG 3.Stock
- Montag 02.12. 15:00 - 16:30 Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
- Dienstag 03.12. 16:30 - 18:00 Hörsaal 3E NIG 3.Stock
- Montag 16.12. 15:00 - 18:00 Hörsaal 3B NIG 3.Stock
- Dienstag 07.01. 16:00 - 18:00 Hörsaal 3E NIG 3.Stock
- Dienstag 07.01. 18:00 - 19:00 Hörsaal. 2H NIG 2.Stock
- Donnerstag 09.01. 15:00 - 17:00 Hörsaal 3C, NIG Universitätsstraße 7/Stg. II/3. Stock, 1010 Wien
- Montag 13.01. 15:00 - 18:00 Hörsaal 3B NIG 3.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
One way to get a deeper understanding of a problem is to explore solutions to it. In this seminar we will be building artificial systems that are to solve increasingly complex tasks in a dynamic environment. We will be studying the types of cognition that become necessary in order to solve these tasks, their requirements and possible implementations. This will help shed light on the way cognition developed in natural systems, which face similar (though considerably more complex) challenges.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Reports
Presentations
Active participation
Presentations
Active participation
Mindestanforderungen und Beurteilungsmaßstab
Understand the types of problems cognition developed for and thus the roles and functions of different aspects of cognition.
Understand the modeling approach and be able to apply it to own problems.
Build state of the art artificial systems.
Understand the modeling approach and be able to apply it to own problems.
Build state of the art artificial systems.
Prüfungsstoff
Assignments of the form "an agent is to achieve X in the world".
Presentations and reports of the developed systems.
With an analysis of the problems encountered and discussion of the chosen solutions.
With references to literature (from a selected literature list).
Presentations and reports of the developed systems.
With an analysis of the problems encountered and discussion of the chosen solutions.
With references to literature (from a selected literature list).
Literatur
A primer: McDermott, Drew (1976). Artificial intelligence meets natural stupidity. SIGART Bull., (57), 49
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Sa 10.09.2022 00:19