Autonomous Intelligent Systems: Multi-Agents and Data Mining by Vladimir Gorodetsky

Autonomous Intelligent Systems: Multi-Agents and Data Mining by Vladimir Gorodetsky

Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KD) 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. KD 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 KD systems, as well as the u- lization of data mining and KD 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 KD, thus resulting in a new dimension and further progress in intelligent information technology.

Longbing Cao is a senior lecturer in the Faculty of Engineering and Information Technology at the University of Technology in Australia. Dr. Cao is the founder of the first knowledge portal and special interest group on Agents and Data Mining Interaction and Integration (AMII): www.agentmining.org

Chengqi Zhang is a research professor in the Faculty of Engineering and Information Technology at the University of Technology in Australia. A member of numerous professional organizations, Dr. Zhang has published more than 200 refereed papers in renowned international journals, such as Artificial Intelligence, Information Systems, IEEE Transactions, and ACM Transactions.

Zili Zhang is a senior lecturer in the School of Engineering and Information Technology at Deakin University in Australia and a professor in the Faculty of Computer and Information Science at Southwest University in China. Dr. Zhang has authored or co-authored several books and more than 80 refereed papers in international journals and conference proceedings. His research interests include agent-based computing, hybrid intelligent systems, and artificial intelligence.

SKU	Unavailable
ISBN 13	9783540728382
ISBN 10	3540728384
Title	Autonomous Intelligent Systems: Multi-Agents and Data Mining
Author	Vladimir Gorodetsky
Series	Lecture Notes In Computer Science
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Year published	2007-05-25
Number of pages	326
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.