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Can I read Quantum-Like Models for Information Retrieval and Decision-Making (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health) on EtoBox?
Quantum-Like Models for Information Retrieval and Decision-Making (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health) by Diederik Aerts; Andrei Khrennikov; Massimo Melucci; Bourama Toni; SpringerLink (Online service) is a nonfiction available to read on EtoBox.
What is Quantum-Like Models for Information Retrieval and Decision-Making (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health) about?
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 system
Who reads Quantum-Like Models for Information Retrieval and Decision-Making (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Diederik Aerts; Andrei Khrennikov; Massimo Melucci; Bourama Toni; SpringerLink (Online service)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030259143
- Category
- nonfiction
- Subjects
- Science, Mathematics, Physics
More by Diederik Aerts; Andrei Khrennikov; Massimo Melucci; Bourama Toni; SpringerLink (Online service)
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