University of Waterloo, Masters of Mathematics in Computer Science - Artificial Intelligence, 1 Year(s)

The Artificial Intelligence Group conducts research in many areas of artificial intelligence. The group conducts research on models of intelligent interaction, multi-agent systems, natural language understanding, constraint programming, computational vision, decision-theoretic planning and learning, and machine learning. Integrating natural language processing models and user models to produce more effective human-computer interaction. This includes designing interfaces that allow for mixed-initiative interaction. Applications include interface agents, electronic commerce and recommender systems. Studying how computational limitations influence strategic behavior in multi-agent systems, as well as developing approaches to overcome computational issues that arise in practical applications of mechanism design and game theory.

Designing systems of collaborative problem-solving agents, with an emphasis on issues of communication and co-ordination for applications of multi-agent systems to the design of effective electronic marketplaces and adjustable autonomy systems. Model... Read more

The Artificial Intelligence Group conducts research in many areas of artificial intelligence. The group conducts research on models of intelligent interaction, multi-agent systems, natural language understanding, constraint programming, computational vision, decision-theoretic planning and learning, and machine learning. Integrating natural language processing models and user models to produce more effective human-computer interaction. This includes designing interfaces that allow for mixed-initiative interaction. Applications include interface agents, electronic commerce and recommender systems. Studying how computational limitations influence strategic behavior in multi-agent systems, as well as developing approaches to overcome computational issues that arise in practical applications of mechanism design and game theory.

Designing systems of collaborative problem-solving agents, with an emphasis on issues of communication and co-ordination for applications of multi-agent systems to the design of effective electronic marketplaces and adjustable autonomy systems. Modelling trust, reputation and incentives in multi-agent systems, including the use of social networks. Developing computational theories of perception, based on Bayesian inference, preference rules, and qualitative probabilities, and applying such methods to problems in object recognition, motion estimation, and learning. Other work includes computational perception of scene dynamics, with applications in event recognition, human computer interaction, and robotics, the analysis and categorization of image motion, particularly in densely cluttered scenes, and the recognition of human behaviors in natural environments with application to assistive technology.

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