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  1. Metóda, problém a úloha (Method, Problem and Task).František Gahér & Vladimir Marko - 2017 - Bratislava: Univerzita Komenského.
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  • A verisimilitudinarian analysis of the Linda paradox.Gustavo Cevolani, Vincenzo Crupi & Roberto Festa - 2012 - VII Conference of the Spanish Society for Logic, Methodology and Philosphy of Science.
    The Linda paradox is a key topic in current debates on the rationality of human reasoning and its limitations. We present a novel analysis of this paradox, based on the notion of verisimilitude as studied in the philosophy of science. The comparison with an alternative analysis based on probabilistic confirmation suggests how to overcome some problems of our account by introducing an adequately defined notion of verisimilitudinarian confirmation.
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  • Is it justifiable to abandon all search for a logic of discovery?Mehul Shah - 2007 - International Studies in the Philosophy of Science 21 (3):253 – 269.
    In his influential paper, 'Why Was the Logic of Discovery Abandoned?', Laudan contends that there has been no philosophical rationale for a logic of discovery since the emergence of consequentialism in the 19th century. It is the purpose of this paper to show that consequentialism does not involve the rejection of all types of logic of discovery. Laudan goes too far in his interpretation of the historical shift from generativism to consequentialism, and his claim that the context of pursuit belongs (...)
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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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  • 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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  • Sent Simulating Simon Simulating Scientists.Esther-Mirjam Sent - 2001 - Studies in History and Philosophy of Science Part A 32 (3):479-500.
    The paper consists of a reflexive exercise in which Herbert Simon's views concerning science are applied to his own research. It argues that what connected his ventures into so many different disciplinary domains was a search for complex, hierarchical systems. In the process, the paper establishes a close connection between Simon's insights and his focus on simulation. Instead of simulating Simon on a computer, though, it simulates Simon on paper. This exercise is then contrasted with Simon's own attempts to simulate (...)
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