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Neural affective decision theory: Choices, brains, and emotions
Authors:Abninder Litt  Chris Eliasmith  Paul Thagard  
Institution:aGraduate School of Business, Stanford University, Stanford, CA 94305-5015, United States;bDepartment of Philosophy, University of Waterloo, Ontario, Canada N2L 3G1;cDepartment of Systems Design Engineering, University of Waterloo, Ontario, Canada N2L 3G1;dDepartment of Psychology, University of Waterloo, Ontario, Canada N2L 3G1;eCheriton School of Computer Science, University of Waterloo, Ontario, Canada N2L 3G1
Abstract:We present a theory and neurocomputational model of how specific brain operations produce complex decision and preference phenomena, including those explored in prospect theory and decision affect theory. We propose that valuation and decision making are emotional processes, involving interacting brain areas that include two expectation-discrepancy subsystems: a dopamine-encoded system for positive events and a serotonin-encoded system for negative ones. The model provides a rigorous account of loss aversion and the shape of the value function from prospect theory. It also suggests multiple distinct neurological mechanisms by which information framing may affect choices, including ones involving anticipated pleasure. It further offers a neural basis for the interactions among affect, prior expectations and counterfactual comparisons explored in decision affect theory. Along with predicting the effects of particular brain disturbances and damage, the model suggests specific neurological explanations for individual differences observed in choice and valuation behaviors.
Keywords:Computational neuroscience  Decision making  Emotion  Framing  Prospect theory
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