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Titlebook: Quantum-Like Models for Information Retrieval and Decision-Making; Diederik Aerts,Andrei Khrennikov,Bourama Toni Book 2019 Springer Nature

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發(fā)表于 2025-3-21 17:04:00 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantum-Like Models for Information Retrieval and Decision-Making
編輯Diederik Aerts,Andrei Khrennikov,Bourama Toni
視頻videohttp://file.papertrans.cn/782/781563/781563.mp4
概述Highlights state-of-the-art contributions from leading international experts.Touches on problems in information foraging, interactive quantum information access, deep convolutional neural networks, th
叢書名稱STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
圖書封面Titlebook: Quantum-Like Models for Information Retrieval and Decision-Making;  Diederik Aerts,Andrei Khrennikov,Bourama Toni Book 2019 Springer Nature
描述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
出版日期Book 2019
關鍵詞operator algebra; probability theory; classical probability theory; quantum probability theory; informat
版次1
doihttps://doi.org/10.1007/978-3-030-25913-6
isbn_softcover978-3-030-25915-0
isbn_ebook978-3-030-25913-6Series ISSN 2520-193X Series E-ISSN 2520-1948
issn_series 2520-193X
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Andrei Khrennikovg its way into practice due to uncertain information quality. Good Operations and Supply Chain Management (OSCM) decisions are just as good as the data they are based upon. A more detailed consideration of data quality is needed, especially when natural language data is processed for decision-making
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