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• W3095127002 abstract "Moral cognition refers to the human capacity to experience and respond to situations of moral significance. Recently, philosophers and cognitive scientists have turned to reinforcement learning, a branch of machine learning, to develop formal, mathematical models of normative cognition. One prominent approach, proposed by Cushman (Curr Opin Behav Sci 3:58–62, 2015), suggests that moral cognition is underwritten by a habitual (‘model-free’) system, in conjunction with socially-learned moral rules. I argue that moral cognition instead depends on three or more decision-making systems, with interactions between the systems producing its characteristic sociological, psychological, and phenomenological features. Adopting such an approach allows us to not only better explain what is going on in everyday, ‘successful’ instances of moral judgment and action, but also to more reliably predict, and perhaps thereby counter, routine breakdowns in moral behavior." @default.
• W3095127002 created "2020-11-09" @default.
• W3095127002 creator A5007213257 @default.
• W3095127002 date "2020-01-01" @default.
• W3095127002 modified "2023-09-26" @default.
• W3095127002 title "Two Theories of Moral Cognition" @default.
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• W3095127002 doi "https://doi.org/10.1007/978-3-030-56134-5_4" @default.
• W3095127002 hasPublicationYear "2020" @default.
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