The influence of depression symptoms on exploratory decision-making |
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Authors: | Nathaniel J Blanco A Ross Otto W Todd Maddox Christopher G Beevers Bradley C Love |
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Institution: | 1. Department of Psychology, University of Texas at Austin, United States;2. Center for Neural Science, New York University, United States;3. Department of Psychology, Institute for Mental Health Research, University of Texas at Austin, United States;4. Department of Cognitive, Perceptual and Brain Sciences, University College London, UK |
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Abstract: | People with symptoms of depression show impairments in decision-making. One explanation is that they have difficulty maintaining rich representations of the task environment. We test this hypothesis in the context of exploratory choice. We analyze depressive and non-depressive participants’ exploration strategies by comparing their choices to two computational models: (1) an “Ideal Actor” model that reflectively updates beliefs and plans ahead, employing a rich representation of the environment and (2) a “Naïve Reinforcement Learning” (RL) model that updates beliefs reflexively utilizing a minimal task representation. Relative to non-depressive participants, we find that depressive participants’ choices are better described by the simple RL model. Further, depressive participants were more exploratory than non-depressives in their decision-making. Depressive symptoms appear to influence basic mechanisms supporting choice behavior by reducing use of rich task representations and hindering performance during exploratory decision-making. |
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Keywords: | Exploration vs exploitation Depression Reinforcement learning Dynamic decision making Cognitive modeling |
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