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:

COGS-4210 Cognitive Modeling CSCI-4961 Network Resilience PSYC-4510 Cognitive Modeling

Prereqs:

none

Past Term Data

Offered

Not Offered

Offered as Cross-Listing Only

No Term Data

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	Spring	Summer
		(Session 1)	(Session 2)
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
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