edited by Ning Zhong (Maebashi Institute of Technology, Japan) , Jiming Liu (Hong Kong Baptist University) , Setsuo Ohsuga (Waseda University, Japan) , & Jeffrey Bradshaw (University of West Florida, USA)

This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes a multi-faceted, holistic view of this emerging technology, from its computational foundations — in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems — to its practical impact on tackling real-world problems.

• Formal Agent Theories
• Computational Architecture and Infrastructure
• Learning and Adaptation
• Knowledge Discovery and Data Mining Agents
• Distributed Intelligence
• Agent Based Applications