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Cognitive Modelling

Lectures 2010

Lecture slides will generally be posted before class each day. See Readings for links to papers.

No.	Week	Date	Topic	Slides	Reading
1	1	12/1	Approaches to cognitive modelling	1-up, 6-up	Chater and Oaksford 1999; Cooper 2002, Ch. 1
2	1	15/1	Levels of analysis, ACT-R	1-up, 6-up	Marr 1982, pp. 19-29; Anderson 1996
3	2	19/1	Tutorial: Basic features of Cogent	1-up, 4-up, model	Cooper 2002, Ch. 2
4	2	22/1	Cognitive architectures: models of problem solving	1-up, 4-up	Cooper 2002, Ch. 4
5	3	26/1	Cognitive architectures: models of arithmetic	1-up, 4-up	Cooper 2002, Ch. 3
6	3	29/1	Spoken word recognition	1-up, 4-up	Marslen-Wilson, 1987
7	4	2/2	Cognitive architectures: models of syntactic processing, part 1	1-up, 4-up	Cooper 2002, Ch. 7
8	4	5/2	Cognitive architectures: models of syntactic processing, part 2	1-up, 4-up	Cooper 2002, Ch. 7
9	5	9/2	Rational analysis	1-up, 4-up	Anderson 1991, pp. 471-485
10	5	12/2	Tutorial: Basic Probability Theory	1-up, 4-up	Manning and Schütze 1999, Ch. 2, Sec. 2.1
11	6	16/2	Probabilistic models: models of decision making	1-up, 4-up	Cooper 2002, Ch. 6, Secs. 6.1-6.2
12	6	19/2	Probabilistic models: Bayesian inference	1-up, 4-up	Griffiths and Yuille 2006
13	7	23/2	Tutorial: feedback/question session	notes	-
14	7	26/2	Probabilistic models: models of memory	1-up, 4-up	Steyvers and Griffiths 2008
15	8	2/3	Probabilistic models: models of syntactic processing	1-up, 4-up	Jurafsky 1996, Secs.1-4.4 (pp. 137-174)
16	8	5/3	Probabilistic models: Bayes nets	1-up, 4-up	Charniak 1991
17	9	9/3	Probabilistic models: models of causal inference	1-up, 4-up	Tenenbaum and Griffiths 2001 OR Griffiths and Tenenbaum 2005
18	9	12/3	Guest lecture (John Pate): Speaking rationally	1-up, 4-up	Frank and Jaeger 2008
-	10	16/3	no class	-	-
19	10	19/3	Probabilistic models: models of visual word recognition	1-up, 4-up	Norris 2006