Quantum-Like Models for Information Retrieval and Decision-Making

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aerts, Diederik (Editor, http://id.loc.gov/vocabulary/relators/edt), Khrennikov, Andrei (Editor, http://id.loc.gov/vocabulary/relators/edt), Melucci, Massimo (Editor, http://id.loc.gov/vocabulary/relators/edt), Toni, Bourama (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,
• Subjects: Mathematical physics.; Mathematical Physics.

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...

Table of Contents:

• - D. Aerts, M. S. de Bianchi, S. Sozzo and T. Velóz: Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach
• A. Platonov, I. Bessmertny, E. Semenenko and A. Alodjants: Non-Separability Effects in Cognitive Semantic Retrieving
• J. Busemeyer and Z. Wang: Introduction to Hilbert Space Multi-Dimensional Modeling
• A. Khrennikov: Basics of Quantum Theory for Quantum-like Modeling Information Retrieval
• B. Wang, E. Di Buccio and M. Melucci: Representing Words in Vector Space and Beyond
• I. Schmitt, G. Wirsching and M. Wolff: Quantum-Based Modelling of Database States
• I. Schmitt: Incorporating Weights into a Quantum-Logic-Based Query Language
• E. Di Buccio and M. Melucci: Searching for Information with Meet and Join Operators.