David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Emotion Review 1 (3):214-222 (2009)
Based on the belief that computational modeling (thinking in terms of representation and computations) can help to clarify controversial issues in emotion theory, this article examines emotional experience from the perspective of the Computational Belief–Desire Theory of Emotion (CBDTE), a computational explication of the belief–desire theory of emotion. It is argued that CBDTE provides plausible answers to central explanatory challenges posed by emotional experience, including: the phenomenal quality,intensity and object-directedness of emotional experience, the function of emotional experience and its relation to cognition and motivation, and the relation between emotional experience and emotion. In addition, CBDTE avoids most objections that have been raised against cognitive theories of emotion. A remaining objection, that beliefs are not necessary for the emotions covered by CBDTE, is rejected as empirically unsupported.
|Keywords||belief-desire theory of emotion emotional experience metarepresentation affective computing|
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Keith Oatley & P. N. Johnson-Laird (2014). Cognitive Approaches to Emotions. Trends in Cognitive Sciences 18 (3):134-140.
Martin Junge & Rainer Reisenzein (2013). Indirect Scaling Methods for Testing Quantitative Emotion Theories. Cognition and Emotion 27 (7):1247-1275.
Roland Deutsch, Kevin J. M. Smith, Robert Kordts-Freudinger & Regina Reichardt (2015). How Absent Negativity Relates to Affect and Motivation: An Integrative Relief Model. Frontiers in Psychology 6.
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