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        Diversity and Disagreement

        From Fundamental Biases to Ethical Interactions

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        Author(s)
        Feltz, Adam
        Cokely, Edward T.
        Language
        English
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        Abstract
        This book details the discovery and exploration of one of the major scientific revelations that has emerged from the field of experimental philosophy—i.e., that heritable personality traits often predict philosophical diversity and disagreement, and may help explain fundamental philosophical biases. Adam Feltz and Edward T. Cokely provide historical and personal perspectives on this differential approach within experimental philosophy and discuss how theoretical considerations and insights have started to have practical impact on practice in risk communication, law, medicine, public policy, and engineering (e.g., science for informed decision making; the ethics of choice architecture and nudges). The main goal in this book is to provide a theoretical framework for understanding variation in fundamental philosophical intuitions and how that variation informs ethical interaction theory. This is an open access book.
        URI
        https://library.oapen.org/handle/20.500.12657/92340
        Keywords
        decision making; moral psychology; experimental philosophy; psychology; informed decisions
        DOI
        10.1007/978-3-031-61935-9
        ISBN
        9783031619359, 9783031619359, 9783031619342
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Grantor
        • University of Oklahoma - [...]
        Imprint
        Palgrave Macmillan
        Classification
        Social and political philosophy
        Ethics and moral philosophy
        Philosophy of mind
        Psychology
        Pages
        289
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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