Unpacking the Cognitive Architecture of Emotion Processes

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Abstract

The results of 2 electroencephalographic studies confirm Component Process Model (CPM) predictions that different appraisal checks have specific brain state correlates, occur rapidly in a brief time window after stimulation, and produce results that occur in sequential rather than parallel fashion. The data are compatible with the assumption that early checks (novelty and intrinsic pleasantness) occur in an automatic, unconscious mode of processing, whereas later checks, specifically goal conduciveness, require more extensive, effortful, and controlled processing. Overall, this work, combined with growing evidence for the CPM's response patterning predictions concerning autonomic physiological signatures, facial muscle movements, and vocalization changes, suggests that this model provides an appropriate basis for the unpacking of the cognitive architecture of emotion and its computational modeling.

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