180077 SE New Trends in Cognitive Science (2013W)
Synthetic approaches: Understanding cognition by designing and building your own cognitive systems
Continuous assessment of course work
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 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
01.10.
13:00 - 15:00
Hörsaal 2i NIG 2.Stock C0228
(Kickoff Class)
Tuesday
22.10.
16:00 - 19:00
Hörsaal 3E NIG 3.Stock
Friday
08.11.
16:00 - 20:00
Hörsaal 3E NIG 3.Stock
Monday
02.12.
15:00 - 16:30
Hörsaal 3D, NIG Universitätsstraße 7/Stg. III/3. Stock, 1010 Wien
Tuesday
03.12.
16:30 - 18:00
Hörsaal 3E NIG 3.Stock
Monday
16.12.
15:00 - 18:00
Hörsaal 3B NIG 3.Stock
Tuesday
07.01.
16:00 - 18:00
Hörsaal 3E NIG 3.Stock
Tuesday
07.01.
18:00 - 19:00
Hörsaal. 2H NIG 2.Stock
Thursday
09.01.
15:00 - 17:00
Hörsaal 3C, NIG Universitätsstraße 7/Stg. II/3. Stock, 1010 Wien
Monday
13.01.
15:00 - 18:00
Hörsaal 3B NIG 3.Stock
Information
Aims, contents and method of the course
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.
Assessment and permitted materials
Reports
Presentations
Active participation
Presentations
Active participation
Minimum requirements and assessment criteria
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.
Examination topics
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).
Reading list
A primer: McDermott, Drew (1976). Artificial intelligence meets natural stupidity. SIGART Bull., (57), 49
Association in the course directory
Last modified: Sa 10.09.2022 00:19