Quantum-Like Models for Information Retrieval and Decision-Making

✍ Scribed by Diederik Aerts, Andrei Khrennikov, Massimo Melucci, Bourama Toni

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 178
Series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Edition: 1st ed. 2019
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-x
Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach (Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz)....Pages 1-33
Non-separability Effects in Cognitive Semantic Retrieving (Aleksey V. Platonov, Igor A. Bessmertny, Evgeny K. Semenenko, Alexander P. Alodjants)....Pages 35-40
Introduction to Hilbert Space Multi-Dimensional Modeling (Jerome Busemeyer, Zheng Joyce Wang)....Pages 41-49
Basics of Quantum Theory for Quantum-Like Modeling Information Retrieval (Andrei Khrennikov)....Pages 51-82
Representing Words in Vector Space and Beyond (Benyou Wang, Emanuele Di Buccio, Massimo Melucci)....Pages 83-113
Quantum-Based Modelling of Database States (Ingo Schmitt, Günther Wirsching, Matthias Wolff)....Pages 115-127
Incorporating Weights into a Quantum-Logic-Based Query Language (Ingo Schmitt)....Pages 129-143
Searching for Information with Meet and Join Operators (Emanuele Di Buccio, Massimo Melucci)....Pages 145-168
Back Matter ....Pages 169-173

✦ Subjects

Mathematics; Mathematical Physics

📜 SIMILAR VOLUMES

Information Retrieval: Uncertainty and L

📁 Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information

✍ Cornelis Joost van Rijsbergen (auth.), Fabio Crestani, Mounia Lalmas, Cornelis J 📂 Library 📅 1998 🏛 Springer US 🌐 English

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption t

Language Modeling for Information Retrie

📁 Language Modeling for Information Retrieval

✍ John Lafferty, ChengXiang Zhai (auth.), W. Bruce Croft, John Lafferty (eds.) 📂 Library 📅 2003 🏛 Springer Netherlands 🌐 English

A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthes

Financial Modeling Using Quantum Computi

📁 Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

✍ Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere 📂 Library 🏛 Packt Publishing 🌐 English

Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domainPurchase of the print or Kindle book includes a free PDF eBook<h4>Key Features</h4><ul><li>Learn to solve financial a

Statistical Language Models for Informat

📁 Statistical Language Models for Information Retrieval

✍ ChengXiang Zhai 📂 Library 📅 2008 🏛 Morgan and Claypool Publishers 🌐 English

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central resea

Statistical Language Models for Informat

📁 Statistical Language Models for Information Retrieval

✍ ChengXiang Zhai 📂 Library 📅 2009 🏛 Morgan & Claypool Publishers. 🌐 English

Statistical language models for informat

📁 Statistical language models for information retrieval

✍ ChengXiang Zhai 📂 Library 📅 2008 🏛 Morgan and Claypool Publishers 🌐 English