Today’s developments in morphometry through pattern recognition tools developed for deep learningoffer us the elements of a “geometry” ob-tained a posteriorifrom the analysis of vast data sets of objects; it is a geometry constructed by “abductive”reasoning,which is very different from the a priorihypothetico-deductive reasoning of geometry tout court.The applications of this abductive morphometric geometry are verifiable retrospectively –in its sta-tistical adaptation to the facts it describes –and prospectively, when used to generate new forms that have a semiotic status comparable to that of “asemicwritings”.

Artificial Abductive Geometry as a Syntax for Asemic Writings

Gay, Fabrizio
;
Cazzaro, Irene
2025-01-01

Abstract

Today’s developments in morphometry through pattern recognition tools developed for deep learningoffer us the elements of a “geometry” ob-tained a posteriorifrom the analysis of vast data sets of objects; it is a geometry constructed by “abductive”reasoning,which is very different from the a priorihypothetico-deductive reasoning of geometry tout court.The applications of this abductive morphometric geometry are verifiable retrospectively –in its sta-tistical adaptation to the facts it describes –and prospectively, when used to generate new forms that have a semiotic status comparable to that of “asemicwritings”.
2025
9783031710124
9783031710131
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11578/351149
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