Autonomous Intelligent Systems: Multi-Agents and Data Mining

Vladimir Gorodetsky

ISBN 10: 3540728384 / ISBN 13: 9783540728382

Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 326 pp. Englisch.

Seller Inventory # 9783540728382

Bibliographic Details

• Title: Autonomous Intelligent Systems: Multi-Agents and Data Mining
• Publisher: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540728384
• ISBN 13: 9783540728382
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 236W x 155H x 20D millimeters 236 millimeters width by 155 millimeters height by 20 millimeters depth
• Weight: 1060 grams

About this title

Synopsis

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.