Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences - Couverture rigide

Diestel, Reinhard

Couverture rigide

ISBN 10 : 100947331X ISBN 13 : 9781009473316

Editeur : Cambridge University Press, 2024

Synopsis

Tangles offer a precise way to identify structure in imprecise data. By grouping qualities that often occur together, they not only reveal clusters of things but also types of their qualities: types of political views, of texts, of health conditions, or of proteins. Tangles offer a new, structural, approach to artificial intelligence that can help us understand, classify, and predict complex phenomena. This has become possible by the recent axiomatization of the mathematical theory of tangles, which has made it applicable far beyond its origin in graph theory: from clustering in data science and machine learning to predicting customer behaviour in economics; from DNA sequencing and drug development to text and image analysis. Such applications are explored here for the first time. Assuming only basic undergraduate mathematics, the theory of tangles and its potential implications are made accessible to scientists, computer scientists, and social scientists.

A propos du livre

À propos de l?auteur

Reinhard Diestel is Chair of Discrete Mathematics at Universität Hamburg, where he works on structural graph theory and combinatorics. He is the author of the leading graduate-level text 'Graph Theory' (6th edition, 2024), which has been translated into German, Russian, Japanese, and Chinese.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 100947331X
• ISBN 13: 9781009473316
• Reliure: Relié
• Nombre de pages: 298
• Coordonnées du fabricant: non disponible