Title :
How the core theory of CLARION captures human decision-making
Author :
Helie, Sebastien ; Sun, Ron
Author_Institution :
Dept. of Psychological & Brain Sci., Univ. of California, Santa Barbara, CA, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
Some mainstream psychologists have criticized computational cognitive architectures on the issue of model complexity and parameter tweaking (i.e., the likelihood that cognitive architectures can explain any results and their opposites). This paper tries to address these criticisms by tackling the issue of model complexity in cognitive architectures. Here, we start with a well-established cognitive architecture, CLARION, and extract its core theory to explain a wide range of data. The resulting minimal model was used to provide parameter-free principled explanations for several psychological “laws” of uncertain reasoning and decision-making. This paper is concluded by a discussion of the implication of parameter-free modeling in cognitive science and psychology.
Keywords :
cognition; decision making; psychology; CLARION core theory; cognitive science; computational cognitive architectures; human decision making; model complexity; parameter-free modeling; parameter-free principled explanations; psychology; Cognition; Computer architecture; Decision making; Discrete Fourier transforms; Humans; Psychology; Sun;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033218