Description: Quantum-like Models for Information Retrieval and Decision-making, Hardcover by Aerts, Diederik (EDT); Khrennikov, Andrei (EDT); Melucci, Massimo (EDT); Toni, Bourama (EDT), ISBN 3030259129, ISBN-13 9783030259129, Like New Used, Free shipping in the US 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. Th 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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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Quantum-Like Models for Information Retrieval and Decision-Making
Number of Pages: X, 173 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2019
Topic: Physics / Mathematical & Computational
Illustrator: Yes
Genre: Science
Item Weight: 16 Oz
Author: Andrei Khrennikov
Item Length: 9.3 in
Item Width: 6.1 in
Book Series: Steam-H: Science, Technology, Engineering, Agriculture, Mathematics and Health Ser.
Format: Hardcover
