Autonomous Intelligent Systems: Multi-Agents and Data Mining Second
Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and - velopment of intelligent information technologies. Indeed, MAS o?ers powerful metaphors for information syst
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Subseries of Lecture Notes in Computer Science
4476
Vladimir Gorodetsky Chengqi Zhang Victor A. Skormin Longbing Cao (Eds.)
Autonomous Intelligent Systems: Agents and Data Mining Second International Workshop, AIS-ADM 2007 St. Petersburg, Russia, June 3-5, 2007 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Vladimir Gorodetsky St. Petersburg Institute for Informatics and Automation 39, 14-th Liniya, St. Petersburg, 199178, Russia E-mail: [email protected] Chengqi Zhang Longbing Cao University of Technology Sydney Broadway, Sydney NSW 2007, Australia E-mail: {chengqi,lbcao}@it.uts.edu.au Victor A. Skormin US Air Force, Binghamton University (SUNY) Binghamton, NY 13902, USA E-mail: [email protected]
Library of Congress Control Number: 2007927313
CR Subject Classification (1998): I.2, H.2.8, H.4, H.3, C.2.4 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-72838-4 Springer Berlin Heidelberg New York 978-3-540-72838-2 Springer Berlin Heidelberg New York
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Preface
Since early 1990, multi-agent systems (MAS), data mining, and knowledge discovery (KDD) have remained areas of high interest in the research and development of intelligent information technologies. Indeed, MAS offers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically focused on the design and implementation of largescale open distributed intelligent systems. KDD also provides intelligent information technology with powerful ideas, algorithms, and software means to help cope with the main problem of artificial intelligence, formulated in the wellknown question “Where does the knowledge come from?”, thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (hierarchical and peer-to-peer) data mining and KDD systems, as well as the utiliza
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