Tangles: a structural approach to artificial intelligence in the empirical sciences
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,...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2024
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-92 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 16 May 2024) |
| Beschreibung: | 1 Online-Ressource (xiii, 281 Seiten) |
| ISBN: | 9781009473323 |
| DOI: | 10.1017/9781009473323 |
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| spelling | Diestel, Reinhard 1959- (DE-588)122411986 aut Tangles a structural approach to artificial intelligence in the empirical sciences Reinhard Diestel Cambridge Cambridge University Press 2024 1 Online-Ressource (xiii, 281 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 16 May 2024) 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 Artificial intelligence Graph theory / Data processing Unvollkommene Information (DE-588)4140474-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Unvollkommene Information (DE-588)4140474-9 s Mustererkennung (DE-588)4040936-3 s Cluster-Analyse (DE-588)4070044-6 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Druck-Ausgabe 9781009473316 https://doi.org/10.1017/9781009473323?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Diestel, Reinhard 1959- Tangles a structural approach to artificial intelligence in the empirical sciences Artificial intelligence Graph theory / Data processing Unvollkommene Information (DE-588)4140474-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Cluster-Analyse (DE-588)4070044-6 gnd Mustererkennung (DE-588)4040936-3 gnd |
| subject_GND | (DE-588)4140474-9 (DE-588)4033447-8 (DE-588)4070044-6 (DE-588)4040936-3 |
| title | Tangles a structural approach to artificial intelligence in the empirical sciences |
| title_auth | Tangles a structural approach to artificial intelligence in the empirical sciences |
| title_exact_search | Tangles a structural approach to artificial intelligence in the empirical sciences |
| title_full | Tangles a structural approach to artificial intelligence in the empirical sciences Reinhard Diestel |
| title_fullStr | Tangles a structural approach to artificial intelligence in the empirical sciences Reinhard Diestel |
| title_full_unstemmed | Tangles a structural approach to artificial intelligence in the empirical sciences Reinhard Diestel |
| title_short | Tangles |
| title_sort | tangles a structural approach to artificial intelligence in the empirical sciences |
| title_sub | a structural approach to artificial intelligence in the empirical sciences |
| topic | Artificial intelligence Graph theory / Data processing Unvollkommene Information (DE-588)4140474-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Cluster-Analyse (DE-588)4070044-6 gnd Mustererkennung (DE-588)4040936-3 gnd |
| topic_facet | Artificial intelligence Graph theory / Data processing Unvollkommene Information Künstliche Intelligenz Cluster-Analyse Mustererkennung |
| url | https://doi.org/10.1017/9781009473323?locatt=mode:legacy |
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