Abstract
Effects of motivation on cognition and performance have been found empirically in different fields. However, the relationship between motivation and performance seems complex and multi-faceted. While seemingly inconsistent or incompatible studies and theories of different disciplinary origins exist in this regard, we show that many of them can potentially be synthesized. Simulations within a unifying computational cognitive architecture account for empirical phenomena from different studies, which demonstrate that a mechanistic (computational) account can potentially unify the interpretations of these studies, largely based on utility calculation from intrinsic motives, and allow for further, more detailed explorations.
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