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  1. Automated discovery systems, part 1: Historical origins, main research programs, and methodological foundations.Piotr Giza - 2021 - Philosophy Compass 17 (1):e12800.
    Philosophy Compass, Volume 17, Issue 1, January 2022.
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  • Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science.Piotr Giza - 2021 - Philosophy Compass 17 (1):e12802.
    Philosophy Compass, Volume 17, Issue 1, January 2022.
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  • The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...)
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  • Current perspectives on the development of the philosophy of informatics.Paweł Polak - 2017 - Philosophical Problems in Science 63:77-100.
    This article is an overview of the philosophy of informatics with a special regard to some Polish philosophers. It juxtaposes the informationistic worldview with the long-prevailing mechanical conceptualization of nature before introducing the metaphysical perspective of the information revolution in sciences. The article shows also how ontic pancomputationalism – regarded as an update to structural realism – could enrich the philosophical research in some classical topics. The paper concludes with a discussion of the philosophy of Jan Salamucha, a philosopher from (...)
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