Running Head: CONSTRAINTS IN COGNITIVE ARCHITECTURES

Cognitive architectures are computational theories that attempt to cover as much of cognition as possible. Developers of cognitive architectures need to balance functionality of the theory against its explanatory and predictive power, which are often at odds with one another. This chapter discusses this balance with respect to working memory, cognitive performance, perceptual and motor systems, learning and neuroscience. It discusses which solutions six cognitive architectures offer to these areas, and illustrates this with a number of successful models.