Multi-agent Architecture for Internet of Medical Things
The technological advancements in recent years has enabled the creation of the Internet of Medical Things, i.e. solutions where medical devices can communicate with each other and exchange data. The guiding idea is to model solutions that can reduce the a
- PDF / 54,891,679 Bytes
- 547 Pages / 439.37 x 666.142 pts Page_size
- 48 Downloads / 237 Views
Leszek Rutkowski · Rafał Scherer · Marcin Korytkowski · Witold Pedrycz · Ryszard Tadeusiewicz · Jacek M. Zurada (Eds.)
Artificial Intelligence and Soft Computing 19th International Conference, ICAISC 2020 Zakopane, Poland, October 12–14, 2020 Proceedings, Part II
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
12416
More information about this series at http://www.springer.com/series/1244
Leszek Rutkowski Rafał Scherer Marcin Korytkowski Witold Pedrycz Ryszard Tadeusiewicz Jacek M. Zurada (Eds.) •
•
•
•
•
Artificial Intelligence and Soft Computing 19th International Conference, ICAISC 2020 Zakopane, Poland, October 12–14, 2020 Proceedings, Part II
123
Editors Leszek Rutkowski Częstochowa University of Technology Częstochowa, Poland Marcin Korytkowski Częstochowa University of Technology Częstochowa, Poland Ryszard Tadeusiewicz AGH University of Science and Technology Kraków, Poland
Rafał Scherer Częstochowa University of Technology Częstochowa, Poland Witold Pedrycz Electrical and Computer Engineering University of Alberta Edmonton, AB, Canada Jacek M. Zurada Electrical and Computer Engineering University of Louisville Louisville, KY, USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-61533-8 ISBN 978-3-030-61534-5 (eBook) https://doi.org/10.1007/978-3-030-61534-5 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms 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 specific 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, expressed 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 affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The regi
