The Toronto Intelligent Decision Engineering Laboratory is concerned with the structure, organization, and manipulation of information for automated and human decision making.
Our primary research focus is the extension of AI and optimization techniques to this end. As a result we are interested in such techniques as constraint programming, local search, hybrid AI/OR techniques, reasoning with uncertainty and in dynamic environments, machine learning, data mining, and representation and reasoning about preferences.
Among the applications we are currently studying are scheduling and other optimization problems, supply chain management, design and modelling of problems to which optimization and automated reasoning may be applied, learning the best algorithm for a given problem instance, and the development of intelligent restaurant and hotel reservation systems. Other broad areas of interest include security, automated composition, planning, and scheduling of web services, and software engineering.
|
