Agent Intelligence Through Data Mining (eBook)

Andreas L. Symeonidis, Pericles A. Mitkas (Autoren)

eBook Download: PDF

2006 | 2005
XXVI, 206 Seiten
Springer US (Verlag)
978-0-387-25757-0 (ISBN)

Infos

This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases.

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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.

Inhalt

Contents 7
List of Figures 13
List of Tables 17
Foreword 19
Preface 21
Acknowledgments 24
Part I CONCEPTS AND TECHNIQUES 26
Chapter 1 INTRODUCTION 27
Chapter 2 DATA MINING AND KNOWLEDGE DISCOVERY: A BRIEF OVERVIEW 35
Chapter 3 INTELLIGENT AGENTS AND MULTI- AGENT SYSTEMS 65
PART II METHODOLOGY 81
Chapter 4 EXPLOITING DATA MINING ON MAS 83
Chapter 5 COUPLING DATA MINING WITH INTELLIGENT AGENTS 95
Part III KNOWLEDGE DIFFUSION: THREE REPRESENTATIVE TEST CASES 116
Chapter 6 DATA MINING ON THE APPLICATION LEVEL OF A MAS 117
Chapter 7 MINING AGENT BEHAVIORS 139
Chapter 8 MINING KNOWLEDGE FOR AGENT COMMUNITIES 159
PART IV EXTENSIONS.. 186
Chapter 9 AGENT RETRAINING AND DYNAMICAL IMPROVEMENT OF AGENT INTELLIGENCE 187
Chapter 10 AREAS OF APPLICATION & FUTURE DIRECTIONS
References 213
Index 223
About the Authors 225

Produkt-Details

• Erscheint lt. Verlag: 6.5.2006
• Reihe/Serie: Multiagent Systems, Artificial Societies, and Simulated Organizations
• Reihe/Serie: Multiagent Systems, Artificial Societies, and Simulated Organizations
• Zusatzinfo: XXVI, 206 p. 77 illus.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Software Entwicklung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Agents • Data Mining • data structures • extension • Intelligence • Knowledge • Knowledge Discovery • multi-agent system
• ISBN-10: 0-387-25757-8 / 0387257578
• ISBN-13: 978-0-387-25757-0 / 9780387257570