Beyond Quantity

Research with Subsymbolic AI

By: Andreas Sudmann (Editor), Anna Echterholter (Editor), Markus Ramsauer (Editor), Fabian Retkowski (Editor), Jens Schroter (Editor)

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Paperback | 23 April 2024 | Edition Number 1

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360 Pages

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23.0 x 15.0 x 2.0

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How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which masters problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

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