Kognitive Informatik (WS 2016/2017)

General Information

• You find administrative information at UnivIS.
• Participants should sign up for the course in the virtual campus.
• For a general course description please read the corresponding pages from the WIAI module guide.
• This course is for bachelor students in psychology in semester 4 or higher, elective module "Applied Cognitive Psychology" (exceptions for students in earlier semesters are possible). Furthermore the course is open for students with a (30 or 45 ECTS) minor in Applied Computer Science.
• This course has 3 ECTS which can be aquired by practice assignments. To obtain the required 6 ECTS for the elective module, please participate at the seminar course offered (probably by a lecturer from the cognitive psychology group) in summer term. 
• This course is NOT eligible for students with a major in Applied Computer Science or Information Systems.
• Psychology students who acquire credits in this course have the option to elect further courses in the domain of applied computer science/cognitive systems when they have reached master level.

Recommended Reading / Links 

• Schmid & Kindsmüller (1996). Kognitive Modellierung. Einführung in die logischen und algorithmischen Grundlagen. Spektrum.
• Schmid, U. (2006). Computermodelle des Denkens und Problemlösens. In J. Funke (Hrsg.), Enzyklopädie der Psychologie, Themenbereich C Theorie und Forschung, Serie II Kognition, Band 8 Denken und Problemlösen. Hogrefe. [pdf]
• Ron Sun (Ed.) (2008). The Cambridge Handbook of Computational Psychology. CUP.
• Strube et al. (Eds.) Wörterbuch der Kognitionswissenschaft. Klett-Cotta.
• Dörner, D. & Schmid, U. (2011). Modellierung psychischer Prozesse .
  In: Schütz, Astrid; Brand, M.; Selg, H.; Lautenbacher, Stefan (Hrsg.) : Psychologie - Eine Einführung in ihre Grundlagen und Anwendungsfelder. 4. Aufl. Stuttgart: Kohlhammer, S. 331-345.

Resources

• Tools for Learning AI: [AISpace]
• ACT-R
• Common Lisp, Common Lisp - The Language
• SWI Prolog

Lecture Notes

• Einführung [pdf]
• Problemlösen und Suche [pdf]
• Mittel-Ziel-Analyse, Rekursion [pdf]
• Produktionssysteme, KI Planung [pdf]
• Spezielle Aspekte des Problemlösens: Lernen, Expertise, Analogie [pdf]
• Wissensrepräsentation und Logik [pdf]
• Resolution und Modellierung semantischer Netze in Prolog [pdf]  [semnet.pl]
• Unscharfes, nicht-monotones und qualitatives Schließen [pdf]
• Menschliches und Maschinelles Lernen [pdf]

Exercise

• Problemlösen und Suche [pdf]
• Produktionssysteme [pdf]

Course Archive

[WS 10/11]   [WS 11/12]   [WS 12/13]    [WS 13/14]    [WS 14/15]   [WS 15/16]