Материал: искусственный интеллект

STEAM-H: Science, Technology, Engineering,

Agriculture, Mathematics & Health

STEAM-H: Science, Technology, Engineering,

Agriculture, Mathematics & Health

Series Editor

Bourama Toni

Department of Mathematics

Howard University

Washington, DC, USA

This interdisciplinary series highlights the wealth of recent advances in the pure and applied sciences made by researchers collaborating between Þelds where mathematics is a core focus. As we continue to make fundamental advances in various scientiÞc disciplines, the most powerful applications will increasingly be revealed by an interdisciplinary approach. This series serves as a catalyst for these researchers to develop novel applications of, and approaches to, the mathematical sciences. As such, we expect this series to become a national and international reference in STEAM-H education and research.

Interdisciplinary by design, the series focuses largely on scientists and mathematicians developing novel methodologies and research techniques that have beneÞts beyond a single community. This approach seeks to connect researchers from across the globe, united in the common language of the mathematical sciences. Thus, volumes in this series are suitable for both students and researchers in a variety of interdisciplinary Þelds, such as: mathematics as it applies to engineering; physical chemistry and material sciences; environmental, health, behavioral and life sciences; nanotechnology and robotics; computational and data sciences; signal/image processing and machine learning; Þnance, economics, operations research, and game theory.

The series originated from the weekly yearlong STEAM-H Lecture series at Virginia State University featuring world-class experts in a dynamic forum. Contributions reßected the most recent advances in scientiÞc knowledge and were delivered in a standardized, self-contained and pedagogically-oriented manner to a multidisciplinary audience of faculty and students with the objective of fostering student interest and participation in the STEAM-H disciplines as well as fostering interdisciplinary collaborative research. The series strongly advocates multidisciplinary collaboration with the goal to generate new interdisciplinary holistic approaches, instruments and models, including new knowledge, and to transcend scientiÞc boundaries.

More information about this series at http://www.springer.com/series/15560

Diederik Aerts ¥ Andrei Khrennikov

Massimo Melucci ¥ Bourama Toni

Editors

Quantum-Like Models for Information Retrieval and Decision-Making

123

https://doi.org/10.1007/978-3-030-25913-6

Mathematics Subject ClassiÞcation: 37-04, 46C99, 60B99, 37N, 81P45, 94A05, 94A17, 94A40, 81Q93, 81Q20, 81Q65, 81S05, 81S10, 81S22

© Springer Nature Switzerland AG 2019

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, speciÞcally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microÞlms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a speciÞc statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional afÞliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland