Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all domains. Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. This comprehensive collection provides libraries with a one-stop resource to equip the academic, industrial, and managerial communities with an in-depth look into the most pertinent AI advances that will lead to the most valuable applications.

Vijayan Sugumaran is a professor of management information systems in the Department of Decision and Information Sciences at Oakland University (Rochester, MI). Dr. Sugumaran received his BTech in mining engineering from the Indian School of Mines, MS in mining engineering from the University of Alaska Fairbanks, and PhD in information technology from George Mason University. His research interests are in the areas of intelligent agent and multi-agent systems, component based software development and reuse, ontologies, Semantic Web and Web services, and Internet technologies.