Feeling and representing: Computational theory and the modularity of affect
Synthese 105 (3):273-301 (1995)
| Abstract | In this paper I review some leading developments in the empirical theory of affect. I argue that (1) affect is a distinct perceptual representation governed system, and (2) that there are significant modular factors in affect. The paper concludes with the observation thatfeeler (affective perceptual system) may be a natural kind within cognitive science. The main purpose of the paper is to explore some hitherto unappreciated connections between the theory of affect and the computational theory of mind. | |||||||||
| Keywords | Affect Computational Emotion Feeling Metaphysics Mind Modularity Representation | |||||||||
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Leonard D. Katz, Pleasure. Stanford Encyclopedia of Philosophy.
R. B. Zajonc (2000). Feeling and Thinking: Closing the Debate Over the Independence of Affect. In Joseph P. Forgas (ed.), Feeling and Thinking: The Role of Affect in Social Cognition. Cambridge University Press.
Edoardo Zamuner (2011). A Theory of Affect Perception. Mind and Language 26 (4):436-451.
Louis C. Charland (1995). Emotion as a Natural Kind: Towards a Computational Foundation for Emotion Theory. Philosophical Psychology 8 (1):59-84.
Laura Sizer (2000). Towards a Computational Theory of Mood. British Journal for the Philosophy of Science 51 (4):743-770.
Robert A. Wilson (2008). What Computers (Still, Still) Can't Do: Jerry Fodor on Computation and Modularity. In Robert J. Stainton (ed.), New Essays in Philosophy of Language and Mind.
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