Functorial Semiotics for Creativity in Music and Mathematics (Hardcover, 1st ed. 2022)

This book presents a new semiotic theory based upon category theory and applying to a classification of creativity in music and mathematics. It is the first functorial approach to mathematical semiotics that can be applied to AI implementations for creativity by using topos theory and its applications to music theory. Of particular interest is the generalized Yoneda embedding in the bidual of the category of categories (Lawvere) - parametrizing semiotic units - enabling a Cech cohomology of manifolds of semiotic entities. It opens up a conceptual mathematics as initiated by Grothendieck and Galois and allows a precise description of musical and mathematical creativity, including a classification thereof in three types. This approach is new, as it connects topos theory, semiotics, creativity theory, and AI objectives for a missing link to HI (Human Intelligence). The reader can apply creativity research using our classification, cohomology theory, generalized Yoneda embedding, and Java implementation of the presented functorial display of semiotics, especially generalizing the Hjelmslev architecture. The intended audience are academic, industrial, and artistic researchers in creativity.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Computational Music Science
Release date:	April 2022
First published:	2022
Authors:	Guerino Mazzola • Sangeeta Dey • Zilu Chen • Yan Pang
Dimensions:	279 x 210mm (L x W)
Format:	Hardcover
Pages:	166
Edition:	1st ed. 2022
ISBN-13:	978-3-03-085189-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Semiology Books > Social sciences > Education > Teaching of a specific subject Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-085189-3
Barcode:	9783030851897

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