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  1. The Emotional Dog and Its Rational Tail: A Social Intuitionist Approach to Moral Judgment.Jonathan Haidt - 2001 - Psychological Review 108 (4):814-834.
    Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done (...)
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  • Descartes' Error: Emotion, Reason, and the Human Brain.Antonio R. Damasio - 1994 - Putnam.
    Linking the process of rational decision making to emotions, an award-winning scientist who has done extensive research with brain-damaged patients notes the dependence of thought processes on feelings and the body's survival-oriented regulators. 50,000 first printing.
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  • The neural mechanisms of moral cognition: A multiple-aspect approach to moral judgment and decision-making. [REVIEW]William D. Casebeer & Patricia S. Churchland - 2003 - Biology and Philosophy 18 (1):169-194.
    We critically review themushrooming literature addressing the neuralmechanisms of moral cognition (NMMC), reachingthe following broad conclusions: (1) researchmainly focuses on three inter-relatedcategories: the moral emotions, moral socialcognition, and abstract moral reasoning. (2)Research varies in terms of whether it deploysecologically valid or experimentallysimplified conceptions of moral cognition. Themore ecologically valid the experimentalregime, the broader the brain areas involved.(3) Much of the research depends on simplifyingassumptions about the domain of moral reasoningthat are motivated by the need to makeexperimental progress. This is a (...)
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  • Influencing brain networks: implications for education.Michael I. Posner & Mary K. Rothbart - 2005 - Trends in Cognitive Sciences 9 (3):99-103.
    In our view, a central issue in relating brain development to education is whether classroom interventions can alter neural networks related to cognition in ways that generalize beyond the specific domain of instruction. This issue depends upon understanding how neural networks develop under the influence of genes and experience. Imaging studies have revealed common networks underlying many important tasks undertaken at school, such as reading and number skills, and we are beginning to learn how genes and experience work together to (...)
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