Cognitive Science 42 (2):457-490 (2018)

Abstract
Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's disease as well as genetic differences in dopamine receptors. This paper shows that a standard model of action selection in a cognitive architecture cannot replicate any of these findings, details an alternative solution that reconciles action selection in the architecture with the physiology of the basal ganglia, and extends the domain of application of cognitive architectures. The implication of this solution for other architectures and existing models are discussed.
Keywords Basal ganglia  Cognitive architectures  Decision making  Neurophysiology  Production systems  Reinforcement learning
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DOI 10.1111/cogs.12506
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References found in this work BETA

Toward an Instance Theory of Automatization.Gordon D. Logan - 1988 - Psychological Review 95 (4):492-527.
Prospect Theory: An Analysis of Decision Under Risk.D. Kahneman & A. Tversky - 1979 - Econometrica: Journal of the Econometric Society:263--291.

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