HMI722. Cognitive Modeling, 3p
||Rita Kovordanyi, IDA/LiTH, email@example.com
||Spring 2004 Course
||Introductory course in AI. Familiarity with basic AI programming
- Lectures introducing basic modeling concepts and theoretical problems.
- Seminars on how different modeling paradigms relate to each other.
- Small modeling assignments using available modeling tools.
- Cognitive neuroscience as a basis for cognitive modeling; design principles
for biologically based cognitive models.
- Marrs three levels of analysis; should cognitive modeling be focused
on resulting behavior or its underlying cognitive mechanisms?
- Virtues and disadvantages of connectionist versus symbolic models.
- Interactive activation models; processing in cascade. Unified architectures
of cognition; comparison between EPIC, ACT-R and Soar.
- Hybrid architectures: ACT-R/PM, EPIC-Soar, COGNET.
Active participation in the seminars and lectures.
+2p: Completion and report on small modeling assignments plus a short
term paper in which an existing model is critically scrutinized.
++2p: Completion and written presentation of a small modeling project.