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Multiple theories of emotion and its role in cognitive function have been devised. These theories have been exploited to develop emotion-modeling artificial intelligence technologies that vary their behavior depending on the recognized emotional state. These theories and the technologies they motivate draw upon correlations between subjective emotional categories and behavioral changes, yet they do not adequately explain these correlations mechanistically. This paper addresses this deficiency with a new theory of emotion as epiphenomenal qualia resulting from variations in the processes that underlie consciousness and cognition. Accordingly, this paper presents fundamental assumptions about these processes and the mechanisms that give rise to them. It then identifies variations in these processes, the qualia they produce, and the corresponding emotion. The paper concludes by presenting the implications of this theory for designing cognitive or artificial intelligence technologies.
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