The Gaia Methodology Process
Gaia was the first complete methodology proposed for the development of multi-agent systems (MASs), and was subsequently improved to designing and building systems in complex, open environments. Gaia focuses on the use of the organizational abstractions t
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Handbook on Agent-Oriented Design Processes
Handbook on Agent-Oriented Design Processes
Massimo Cossentino • Vincent Hilaire • Ambra Molesini • Valeria Seidita Editors
Handbook on Agent-Oriented Design Processes
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Editors Massimo Cossentino ICAR-CNR Palermo Italy
Ambra Molesini Alma Mater Studiorum Università di Bologna Bologna Italy
Vincent Hilaire University of Technology of Belfort Montbéliard Belfort cedex France Valeria Seidita DICGIM University of Palermo Palermo Italy
ISBN 978-3-642-39974-9 ISBN 978-3-642-39975-6 (eBook) DOI 10.1007/978-3-642-39975-6 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014932973 © Springer-Verlag Berlin Heidelberg 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
Designing a multi-agent system (MAS) is not an easy task: creating agents, environments, norms, organizations, and make them cooperate in order to solve a collective task is both an art and a science. MAS have to deal with two important and difficult issues: autonomy and interaction. Autonomy is the ability for an agent to solve local and individual problems using its own memory and ability to decide what to do next in accordance with what kind of information it perceives. Of course, agents do not have free will
