Evaluation and Problems in Cognitive Modelling

Powerful Essays
Computational Cognitive
COGS 511-Lecture 5
Evaluation and
Problems in
Cognitive Modelling


COGS 511


Related Readings
Gluck and Pew (2005). Chs 1,9 and 10. Modeling Human Behavior with Integrated Cognitive
Architectures: Comparison, Evaluation and Validation. Lawrance Erlbaum
Optional Readings:
Cooper and Shallice. (1995) Soar and the Case for Unified Theories of Cognition. Cognition 55. 115149
Young (2005). The Data Learning Problem in Cognitive Architectures. Cognitive Systems Research.
6, pp. 89-97.
McCloskey, Networks and Theories (1991) (Ch. 35) in Polk & Seifert (eds).
Cooper, R. Ch. 9 Reflections
Cooper (2006). Cognitive Architectures as Lakatosian Research Programs: Two Case Studies.
Philosophical Psychology 19(2), 199-220.
Lallement and John (1998). Cognitive Architecture and Modeling Idiom. In Proceedings of the 20th
Annual Conference of the Cognitive Science Society.
Roberts and Pashler (2000) How Persuasive is a Good Fit? Psychological Review 107 (2), 358-367
(see also Rodgers and Rowe (2002) reply in 109(3))
Schunn, C and Wallach D. (2002) Evaluating Goodness-of-Fit in Comparison of Models to Data.
Schunn, C and Wallach D. (2002) Issues and Methods In Evaluating the Fit of Models to Varience
Data. Manuscript.
Responses of McClelland and Young to Anderson and Lebiere (2003). The Newell Test for a theory of cognition. Behavioral and Brain Sciences 26, 587-640.
Myung, Pitt and Kim (2005) Model Evaluation, Testing and Selection. In Lamberts and Goldstone
(eds), Handbook of Cognition, Sage.
Wray, R. And C. Lebiere (2007) Metrics for Cognitive Architecture Evaluation. AAAI Workshop for
Evaluating Architectures for Intelligence.

(From Field, 2003)
 Regression
 Correlation

 In

a correlation, we look at the relationship between two variables without knowing the direction of causality  In

a regression, we try to predict the outcome of

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