Introducing the Oscillations Based Paradigm The Simulation of Agents
The book presents a conceptually novel oscillations based paradigm, the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the modelling of agents and their systems as coherent, stylized, neurodynamic processes. This paradigm links emerging research
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Introducing the Oscillations Based Paradigm The Simulation of Agents and Social Systems
Introducing the Oscillations Based Paradigm
Darius Plikynas
Introducing the Oscillations Based Paradigm The Simulation of Agents and Social Systems
123
Darius Plikynas Research and Development Center Kazimieras Simonavičius University Vilnius Lithuania and Institute of Mathematics and Informatics Vilnius University Vilnius Lithuania
ISBN 978-3-319-39039-0 DOI 10.1007/978-3-319-39040-6
ISBN 978-3-319-39040-6
(eBook)
Library of Congress Control Number: 2016940118 © Springer International Publishing Switzerland 2016 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, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Foreword by Prof. Andrea Omicini
What happens when one tries to link together the research on neuroscience, artificial intelligence, multi-agent systems, and social networks? After decades when multi-, inter-, and trans-disciplinary research were mostly the result of scattered, isolated activity, or, the rare consequence of some specific, application-oriented research project, research on complex systems demonstrated how all the issues and problems arising from the diversity of the conceptual landscapes, the methods, and the peculiar languages could (and should) actually be resolved. Two decades ago, the emergence of complex networks made it apparent how a single common viewpoint over heterogeneous fields such as biological systems, computer science, economics, and social sciences, to name a few, could lead to spectacular results. Nowadays, social systems represent a novel frontier for inter-disciplinary studies, as witnessed, for instance, by the surprisingly successful application of statistical mechanics to economics. Generally speaking, their multi-faceted articulation first primarily motivates regrouping of models and methods across all of those disciplines involving
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