Kognitive Informatik (WS 2021/2022)

General Information

  • Dies ist der Kurs "Grundlagen der Kognitiven Informatik" (3 ECTS). Zum FÜM "Kognitive Informatik" im Master Psychologie, siehe unten.
  • 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: Fachübergreifendes Modul Kognitive Informatik: Einführung in die KI (6 ECTS SoSe) und Seminar Kognitive Systeme (3 ECTS, WS), mündliche Prüfung  über dien 9 ECTS (Wer das Seminat Grundlagen der Kognitiven Informatik NICHT besucht hat, steigt in das FÜM damit ein, startet also im WS, und belegt danach die Einführung in die KI)

Recommended Reading / Links 

Resources

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
  • Produktionssysteme

Course Archive

[WS 10/11]   [WS 11/12]   [WS 12/13]    [WS 13/14]    [WS 14/15]   [WS 15/16]  [WS 16/17] [WS 17/18] [WS 18/19] [WS 19/20] [WS 20/21]