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Více informací o knize Quantum-Like Models for Information Retrieval and Decision-Making

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Anotace knihy

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 considered chiefly 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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Physics Mathematical physics

• Plný název: Quantum-Like Models for Information Retrieval and Decision-Making
• Autor: Diederik Aerts, Andrei Khrennikov, Massimo Melucci, Bourama Toni
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 173
• EAN: 9783030259129
• ID: 24519061
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 454 g
• Rozměry: 235 × 155 × 16 mm
• Datum vydání: 20. September 2019

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