Andreas L. Symeonidis, Pericles A. Mitkas

Agent Intelligence Through Data Mining

• Broschiertes Buch

Produktbeschreibung

Knowledge, hidden in voluminous data repositories routinely created and maintained by today's applications, can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. Agent Intelligence Through Data Mining addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. This book contains a methodology, tools and techniques, and several examples of agent-based applications developed with this approach. This volume focuses mainly on the use of data mining for smarter, more efficient agents.

Agent Intelligence Through Data Mining is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.

Produktdetails

• Multiagent Systems, Artificial Societies, and Simulated Organizations 14
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3724-7
• Repr. d. Ausg. v. 2005
• Seitenzahl: 228
• Erscheinungstermin: 4. Oktober 2011
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 353g
• ISBN-13: 9781441937247
• ISBN-10: 1441937242
• Artikelnr.: 32110499

Autorenporträt

Agent Intelligence Through Data Mining unifies and integrates methodology and provides the ability to infuse knowledge extracted by the use of data mining techniques into agents and Multi-Agent Systems (MAS). This book includes the investigation and application of a great number of data mining methods on MAS application. Due to the nature of the technologies involved, the authors present a number of generic multi-agent models, and a novel agent-oriented data mining algorithm to be applied to specific problems presented within this book.

Inhaltsangabe

Concepts and Techniques.- Data Mining and Knowledge Discovery: A Brief Overview.- Intelligent Agents and Multi-Agent Systems.- Methodology.- Exploiting Data Mining on Mas.- Coupling Data Mining with Intelligent Agents.- Knowledge Diffusion: Three Representative Test Cases.- Data Mining on the Application Level of a Mas.- Mining Agent Behaviors.- Mining Knowledge for Agent Communities.- Extensions....- Agent Retraining and Dynamical Improvement of Agent Intelligence.- Areas of Application & Future Directions.