Autonomous Intelligent Systems: Multi-Agents and Data Mining

Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007. Proceedings

  • Editors
  • Vladimir Gorodetsky
  • Chengqi Zhang
  • Victor A. Skormin
  • Longbing Cao
Conference proceedings AIS-ADM 2007
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4476)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Kanishka Bhaduri, Kamalika Das, Hillol Kargupta
      Pages 1-10
    2. Vladimir Khoroshevsky, Irina Efimenko, Grigory Drobyazko, Polina Kananykina, Victor Klintsov, Dmitry Lisitsin et al.
      Pages 11-27
    3. Sandip Sen, Sabyasachi Saha, Stéphane Airiau, Teddy Candale, Dipyaman Banerjee, Doran Chakraborty et al.
      Pages 28-45
    4. Ning Zhong, Shinichi Motomura
      Pages 46-59
  3. Agent and Data Mining

    1. Longbing Cao, Chao Luo, Chengqi Zhang
      Pages 60-73
    2. Christos Dimou, Andreas L. Symeonidis, Pericles A. Mitkas
      Pages 74-87
    3. Zoheir Ezziane
      Pages 88-93
    4. Peter Graubmann, Mikhail Roshchin
      Pages 94-99
    5. Luis E. Rocha-Mier, Leonid Sheremetov, Ildar Batyrshin
      Pages 138-152
    6. Alexander Smirnov, Mikhail Pashkin, Tatiana Levashova, Nikolay Shilov, Alexey Kashevnik
      Pages 178-191
  4. Agent Competition and Data Mining

    1. Natalia Akchurina, Hans Kleine Büning
      Pages 192-205
    2. Edward Pogossian, Vachagan Vahradyan, Arthur Grigoryan
      Pages 229-241

About these proceedings

Introduction

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 system conceptualization, a range of new techniques, and technologies speci?cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of arti?cial intelligence, formulated in the we- known 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 (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, con?rms the fact that both technologies are capable of mutual enri- ment and their integrateduse may result in intelligent information systems with new emergent properties. The 1st International Workshop “Autonomous Int- ligent Systems: Agents and Data Mining” (AIS-ADM 2005, June 6–8, 2005, St. Petersburg, Russia) was a response to the aforementioned trend. It con?rmed the interest of academic and industry communities in advancing the e?orts to integrate achievements in MAS and KDD, thus resulting in a new dimension and further progress in intelligent information technology.

Keywords

Navigation agent coalitions agent-based decision making agent-based negotiation algorithms architecture autonomous agents autonomous intelligent systems classification communication data mini genetic algorithms ontology security semantic web

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-72839-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-72838-2
  • Online ISBN 978-3-540-72839-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book