The Intelligent & Adaptive Systems Group focuses on research into stand alone and distributed software systems that possess some form of intelligence or adaptivity, including characteristics such as autonomy, self-awareness, learning, pattern recognition, risk and uncertainty management, skill development and refinement/optimisation and coalition formation.

To model, design and implement such systems, we rely on and extend various techniques and technologies, such as rule-based reasoning, Bayesian networks, Neural Networks, Agent-Based Systems, Machine Learning/Data mining, User and Group modelling, Context modelling and prediction, Quality of Service management, and Trust and Reputation building techniques.

Our main application domains are Education, the Web, Service-Oriented/P2P Systems and Biology, for Academia and Industry alike.

In particular, members of the group have interest in:

• Authoring of Adaptive Hypermedia
• Agent-based Systems
• Biologically Inspired Systems
• Cooperation and Coalition Formation
• Interoperability of Adaptive Systems
• Pedagogic Architectures
• Relational and Temporal Data Mining
• Teaching and Learning Tools and Systems
• Trust and Reputation
• User Context Modelling and Prediction for Web Personalization

More information can be found on:

• People and research projects
• Seminars and events
• Selected publications