The Discovery of Principles in Prior Analytics 1.30

Bibliographic Data

ID11585136
AuthorsMarko Malink (0000-0002-7325-5392, Department of Philosophy, New York University USA, corresponding author)
Year2022
Volume67
Issue2
Pages161-215
Publication date2022-03-18
Open AccessYes
TypeARTICLE
VenuePhronesis (JOURNAL)
Journal identifiersISSN: 0031-8868 • E-ISSN: 1568-5284
PublisherBrill (PUBLISHER • NL)
DOI10.1163/15685284-bja10053
OpenAlexW4220757489
LanguageEN
References cited44

In Prior Analytics 1.27–30, Aristotle develops a method for finding deductions. He claims that, given a complete collection of facts in a science, this method allows us to identify all demonstrations and indemonstrable principles in that science (1.30, 46a21–7). This claim has been questioned by commentators. I argue that the claim is justified by the theory of natural predication presented in Posterior Analytics 1.19–22. According to this theory, natural predication is a non-extensional relation between universals that provides the metaphysical basis for demonstrative science

Analytics · Data mining · Data science · Demonstrative · Epistemology · Extensional definition · Linguistics · Metaphysics · Natural (archaeology · Natural science · Philosophy of science · Problem of universals · Relation (database · Classical Philosophy and Thought · Computer Science · Historical Philosophy and Science · History · Philosophy · Philosophy and Theoretical Science

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