Complex Agent-Based Models
This book offers a thorough introduction to the highly promising complex agent-based approach to economics, in which agent-based models (ABMs) are used to represent economic systems as complex and evolving systems composed of heterogeneous agents of limit
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Mauro Gallegati
Complex AgentBased Models
Complex Agent-Based Models
New Economic Windows Series editors MARISA FAGGINI, MAURO GALLEGATI, ALAN P. KIRMAN, THOMAS LUX Series Editorial Board Jaime Gil-Aluja Departament d’Economia i Organització d’Empreses, Universitat de Barcelona, Barcelona, Spain
Fortunato Tito Arecchi Dipartimento di Fisica, Universitá degli Studi di Firenze and INOA, Florence, Italy
David C. Colander Department of Economics, Middlebury College, Middlebury, VT, USA
Richard H. Day Department of Economics, University of Southern California, Los Angeles, USA
Steve Keen School of Economics and Finance, University of Western Sydney, Penrith, Australia
Marji Lines Dipartimento di Scienze Statistiche, Universitá degli Studi di Udine, Udine, Italy
Alfredo Medio Dipartimento di Scienze Statistiche, Universitá degli Studi di Udine, Udine, Italy
Paul Ormerod Directors of Environment Business-Volterra Consulting, London, UK
J. Barkley Rosser Department of Economics, James Madison University, Harrisonburg, VA, USA
Sorin Solomon Institute of Physics, The Hebrew University of Jerusalem, Jerusalem, Israel
Pietro Terna Dipartimento di Scienze Economiche e Finanziarie, Universitá degli Studi di Torino, Torino, Italy
K. Vela Velupillai Department of Economics, National University of Ireland, Galway, Ireland
Nicolas Vriend Department of Economics, Queen Mary University of London, London, UK
Lofti A. Zadeh Computer Science Division, University of California Berkeley, Berkeley, CA, USA
More information about this series at http://www.springer.com/series/6901
Mauro Gallegati
Complex Agent-Based Models
Mauro Gallegati Università Politecnica delle Marche Ancona, Italy
ISSN 2039-411X ISSN 2039-4128 (electronic) New Economic Windows ISBN 978-3-319-93857-8 ISBN 978-3-319-93858-5 (eBook) https://doi.org/10.1007/978-3-319-93858-5 Library of Congress Control Number: 2018953288 © Springer Nature Switzerland AG 2018 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. The p
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