Agent Intelligence Through Data Mining

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.

List of contents

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.

Summary

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.

Product details

• Authors: Pericles A Mitkas, Pericles A. Mitkas, Andreas Symeonidis, Andreas L Symeonidis, Andreas L. Symeonidis
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 21.10.2010
• EAN: 9781441937247
• ISBN: 978-1-4419-3724-7
• No. of pages: 206
• Dimensions: 156 mm x 12 mm x 234 mm
• Weight: 353 g
• Illustrations: XXVI, 206 p. 77 illus.
• Series: Multiagent Systems, Artificial Societies, and Simulated Organizations; Multiagent Systems, Artificial Societies, and Simulated Organizations
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Software Engineering, Data Mining, Artificial Intelligence, computer science, Database Management, Software Engineering/Programming and Operating Systems, Data Structures and Information Theory, database programming, Data Mining and Knowledge Discovery, Operating systems, Algorithms & data structures, Expert systems / knowledge-based systems, Data structures (Computer science), Data Structures, Databases