Intelligent Systems for Automated Learning and Adaptation

Intelligent systems are rapidly becoming a central focus of study for researchers as they have the ability to learn and adapt during their existence in order to achieve certain goals and objectives. Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications presents methodologies, architectures, and approaches on experiential automated learning. This critical mass of sought after research assembles the most intriguing and innovative applications, advancements, and leading studies on the methodology of intellectual computing.

Raymond Chiong is a tenured academic in the School of Computing & Design, Swinburne University of Technology. He is leading the Intelligent Informatics Research Group under the Information & Security Research Lab. He serves as an associate editor for the Interdisciplinary Journal of Information, Knowledge, and Management, and reviews for IEEE Transaction on Evolutionary Computation and Springer's Memetic Computing. He also serves on the IEEE Computer Society Technical Committee on Intelligent Informatics, IASTED Technical Committee on Artificial Intelligence, as well as IASTED Technical Committee on Modelling and Simulation. His main research interests include nature-inspired computing and its application to complex systems. He has numerous publications in books, international journals, and conference proceedings, and is currently involved with four edited books.