BC4 Computational Cognitive Modeling – Thinking like a Computer Scientist

Description

Attention: if you plan to participate in this course you may want to bring a laptop (with or without swi-prolog: http://www.swi-prolog.org/) to the course

In this basic course, an introduction to computational modeling of cognitive processes is given. The focus is on higher cognition, mainly on reasoning and problem solving. And the introduced models and methods address modeling on the symbol/knowledge level.
Lecture 1: Short history of cognitive modeling, early cognitive models (Teachable Language Comprehender, Spreading Activation)
Lecture 2: Logic as foundation for knowledge representation, Prolog
Lecture 3: Cognitive Architectures and stand-alone models, models of human reasoning problem solving
Lecture 4: Human concept learning and machine learning

Objectives

- Understanding what the basic research methods and evaluation criteria of computer science are and understanding the perspective of Artificial Intelligence as a subfield of computer science as well as an integral part of cognitive science.
- Overview of artificial intelligence methods for cognitive modeling.
- Ability to write simple computational models in Prolog.

Literature

Stuart Russell and Peter Norvig (2009). Artificial Intelligence: A Modern Approach (3rd Edition). Pearson. http://aima.cs.berkeley.edu/

Diedrich Dörner und Ute Schmid (2015).Modellierung psychischer Prozesse .In: A. Schütz, M. Brand, H. Selg, S. Lautenbacher (Hrsg.) : Psychologie. Eine Einführung in ihre Grundlagen und Anwendungsfelder (5. Aufl.). Stuttgart: Kohlhammer, S. 329 – 343.

Ute Schmid (2006). Computermodelle des Denkens und Problemlösens .In: J. Funke (Hrsg.), Enzyklopädie der Psychologie, Themenbereich C: Theorie und Forschung, Serie 2: Kognition (Denken und Problemlösen Bd. 8). Göttingen: Hogrefe, S. 483-547.

Course location

Forum 1

Course requirements

None

Instructor information.

Instructor