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

Ossification

Basics of Quantum Theory for Quantum-Like Modeling Information Retrieval,patible observables represented mathematically by noncommuting Hermitian operators. At the level of statistical data incompatibility is represented as interference of probabilities, in the form of modification of the formula of total probability by adding the interference term.

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Incorporating Weights into a Quantum-Logic-Based Query Language,, our weighting is completely embedded within a logic. As a result, logical rules are preserved and can be used for query reformulation and optimization. As underlying logic-based query language, we use the CQQL query language. Furthermore we demonstrate that our weighting approach is applicable to further logic-based query languages.

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Searching for Information with Meet and Join Operators, an overview of the state-of-the-art formalism used in IR and explain how the novel model based on themes defined as vector spaces and inspired by quantum operators, such as two lattice operators known as meet and join, can be built upon this formalism.

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Non-separability Effects in Cognitive Semantic Retrieving,ow the existence of certain quantum-like correlations between two words of the user’s query; these correlations cannot be taken into account in the classical probabilistic description. We predict that the contextuality revealed can be regarded as human cognitive level both while writing of certain texts and queries to them.

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Book 2019on, 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 qu

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overture

Non-separability Effects in Cognitive Semantic Retrieving,ic search of information and document ranking for articles in Russian. The model of Bell test in semantics is based on hyperspace analogue to language (HAL) algorithm provides to obtain vector representation of words (in Hilbert space) using the dictionary index and considering the word order. We sh

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Introduction to Hilbert Space Multi-Dimensional Modeling,e built from quantum probability theory, are used to provide a simple and coherent account of a collection of contingency tables. The collection of tables are obtained by measurement of different overlapping subsets of variables. HSM models provide a representation of the collection of the tables in