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        Täuschungen

        Erlanger Universitätstage 2018

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        Contributor(s)
        Freiburg, Rudolf (editor)
        Collection
        AG Universitätsverlage
        Language
        German
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        Abstract
        Der vorliegende Band präsentiert die Druckfassungen der Vorträge zum Thema ‚Täuschungen‘, die anlässlich der Erlanger Universitätstage vom 20. Februar bis 20. März 2018 in Amberg und vom 25. Oktober bis zum 29. November 2018 in Ansbach gehalten wurden. Den Erlanger Wissenschaftlerinnen und Wissenschaftlern, Privatdozentin Dr. Doris Gerstl, Prof. Johanna Haberer, Prof. Dr. Gerhard Ernst, Dr. Christian Riess und Prof. Dr. Holger Schulze – aus den fünf Disziplinen Kunstgeschichte, Christliche Publizistik, Philosophie, Bildforensik und Neurobiologie – gelangen spannende Vorträge, in denen das Rahmenthema ‚Täuschungen‘ aus der jeweiligen Fachperspektive beleuchtet wurde; die Beiträge sind trotz ihres hohen wissenschaftlichen Anspruchs auch für ein breites Publikum verständlich.
        URI
        https://library.oapen.org/handle/20.500.12657/104059
        Keywords
        Wirklichkeit; Falschmeldung; Skeptizismus; Wahrnehmung; Täuschung; Sensorik
        DOI
        10.25593/978-3-96147-222-2
        ISBN
        9783961472222, 9783961472222, 9783961472215
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2019
        Series
        FAU Forschungen : Reihe A, 14
        Classification
        Media, entertainment, information and communication industries
        History of art
        Psychology: emotions
        Philosophy and Religion
        Applied computing
        Pages
        152
        Rights
        https://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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