Cognitive Modeling I

COGS-6210

This is a graduate level course that introduces the student to computational cognitive modeling. Cognitive modeling is the simulation of human cognitive, perceptual, and motor processes based on a cognitive architecture. The benefit of cognitive modeling is that it facilitates the testing of ideas about human processes through comparison of model data with empirical data. This course covers ACT-R, a symbolic architecture and LEABRA, a neural-level architecture.

4 credits
Cross-listed with:
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Cognitive Modeling I (4c)
  • Stefan Tomov Radev
Seats Taken: 0/19
2023
2022
2021
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 5/24
2020
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 3/24
2019
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 0/24
2018
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 2/3
2017
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 1/3
2016
Cognitive Modeling I (4c)
  • Michael J. Schoelles
Seats Taken: 5/3
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
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1999
1998