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4 June 2022
24 February 2022 |
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Here I submit that the ignorance that emerges when using big data in the empirical sciences is ignorance of theoretical structure with reliable consequences and I explain how this ignorance relates to the production of specific insights and later on, to further epistemic achievements such as knowledge and understanding.
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I argue that we can legitimately understand the standard Quantum theory and some of its interpretations, even if defective, if we can recognize the theory’s underlying inference pattern(s) and if we can reconstruct and explain what is going on in specific cases of the theories in question. To do so, I assume a Primitive Ontology methodology and I contend that it (remarkably) enhances our modal understanding of both the theories and the world that they describe.
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MAORSerendipity | |
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UfLtE.pdf | |
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SLIDESignorance_self | |
File Size: | 993 kb |
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