Socionics Scalability of Complex Social Systems
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Subseries of Lecture Notes in Computer Science
3413
Klaus Fischer Michael Florian Thomas Malsch (Eds.)
Socionics Scalability of Complex Social Systems
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Klaus Fischer German Research Center for Artificial Intelligence (DFKI) GmbH Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germany E-mail: [email protected] Michael Florian Thomas Malsch Hamburg University of Technology Department of Technology Assessment Schwarzenbergstr. 95, 21071 Hamburg, Germany E-mail: {florian,malsch}@tuhh.de
Library of Congress Control Number: 2005937167
CR Subject Classification (1998): I.2.6, I.2.9, I.2, I.5.1, J.4, K.4.3 ISSN ISBN-10 ISBN-13
0302-9743 3-540-30707-9 Springer Berlin Heidelberg New York 978-3-540-30707-5 Springer Berlin Heidelberg New York
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Preface
This book is an outcome of the Socionics Research Framework.1 The roots of Socionics lie in the 1980s when computer scientists in search of new methods and techniques of distributed and coordinated problem-solving first began to take an engineering interest in sociological concepts and theories. Just as biological phenomena are conceived of as a source of inspiration for new technologies in the new research field of bionics, computer scientists working in Distributed Artificial Intelligence (DAI) became interested in exploiting phenomena from the social world in order to construct Multiagent Systems (MAS) and, generally, to build open agent societies or complex artificial social systems. Socionics is driven by the underlying assumption that there is an inherent parallel between the ‘up-scaling’ of MAS and the ‘micro-macro link’ in sociology. Accordingly, one of the fundamental challenges of Socionics is to build large-scale multiagent systems which are capable of managing ‘societies of autonomous computational agents ... in large open information environments’ ([9, p. 112]). As more sophisticated interactions become common in open MAS, the demand to design reliable mechanisms coordinating large-scale networks of intelligent agents grows. Suitable design mechanisms may enhance the developemen
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