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Quantum-Like Models for Information Retrieval and Decision-Making
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
| Lieferstatus: |
 Auf Bestellung (Lieferzeit unbekannt) |
| Veröffentlichung: |
September 2019
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| Genre: |
Naturwissensch., Medizin, Technik |
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B / contextual probability / Dynamical systems / Information Retrieval / Information theory / mathematical modeling of information processing / Mathematical physics / Mathematics and Statistics |
| ISBN: |
9783030259129 |
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EAN-Code:
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9783030259129 |
| Verlag: |
Springer EN |
| Einband: |
Gebunden |
| Sprache: |
English
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| Serie: |
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health |
| Dimensionen: |
H 235 mm / B 155 mm / D |
| Gewicht: |
448 gr |
| Seiten: |
173 |
| Illustration: |
X, 173 p. 39 illus., 9 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen |
| Zus. Info: |
EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
Recent years have been characterized by tremendous advances in quantum information and communication, both theoretically and experimentally. In addition, mathematical methods of quantum information and quantum probability have begun spreading to other areas of research, beyond physics. One exciting new possibility involves applying these methods to information science and computer science (without direct relation to the problems of creation of quantum computers).
The aim of this Special Volume is to encourage scientists, especially the new generation (master and PhD students), working in computer science and related mathematical fields to explore novel possibilities based on the mathematical formalisms of quantum information and probability. The contributing authors, who hail from various countries, combine extensive quantum methods expertise with real-world experience in application of these methods to computer science. The problems consideredchiefly concern quantum information-probability based modeling in the following areas: information foraging; interactive quantum information access; deep convolutional neural networks; decision making, quantum dynamics; open quantum systems; and theory of contextual probability.
The book offers young scientists (students, PhD, postdocs) an essential introduction to applying the mathematical apparatus of quantum theory to computer science, information retrieval, and information processes.
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