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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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发表于 2025-3-21 17:04:00 | 显示全部楼层 |阅读模式
书目名称Quantum-Like Models for Information Retrieval and Decision-Making
编辑Diederik Aerts,Andrei Khrennikov,Bourama Toni
视频video
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
丛书名称STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
图书封面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
关键词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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Diederik Aerts,Massimiliano Sassoli de Bianchi,Sandro Sozzo,Tomas Velozile simultaneous advances in technology lead to continuously larger volumes of data recorded. Traditional risk evaluation methods in insurance struggle to account for rising supply chain complexity which is reflected by growing amount and dimensionality of supply chain data. Therefore decision-maker
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Jerome Busemeyer,Zheng Joyce Wanges, amongst others, conceptualizing on various aspects constituting underlying mistrusts. The conception is achieved by setting up a framework describing trust-based collaborative interactions of these partnering entities, referred to as .. This research establishes a trust framework addressing agen
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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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Benyou Wang,Emanuele Di Buccio,Massimo Meluccissions is also increasingly crucial for terminal operators. This can be achieved by integrating renewable sources such as photovoltaic or wind energy. While energy supply and demand must be in balance, the amount of energy produced through renewable sources cannot be controlled as it depends exclusi
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Ingo Schmitt,Günther Wirsching,Matthias Wolff in the future, it is essential to target situations with a high risk for spreading contagious diseases. The risk of rapidly spreading of diseases is characterized by the fact that prevention measures cannot be applied as required, e.g., due to faulty execution. This situation has been observed duri
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ty– for developing renewable-energy technologies. However, due to its nature, the MiSC’s upstream segment is prone to negative events. These could disrupt the commodity supply‘s security and prevent it from achieving global sustainable goals. Therefore, an in-depth understanding of how a disruptive
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