Events

Speaker: Julie Weber

This talk will describe two projects in the design of intelligent assistants. The first part will focus on a new algorithm for active learning that is embedded within an interactive calendar management system to learn users' scheduling preferences.

Speaker: Russ Greiner (University of Alberta)

Researchers often use clinical trials to collect the data needed to evaluate some hypothesis, or produce a classifier. During this process, they have to pay the cost of performing each test.

Speaker: Sandip Sen (University of Tulsa)

We believe that intelligent information agents will represent their users' interest in electronic marketplaces and other forums to trade, exchange, share, identify, and locate goods and services. Such information worlds will present unforeseen opportunities as well as challenges that can be best addressed by robust, self-sustaining agent communities.

Speaker: Jie Zhang

In this talk, we consider the challenge of designing an electronic marketplace populated with buying and selling agents that learn to choose the best business partners, for their users. In particular, we present a novel mechanism that creates incentives for honesty in this electronic marketplace.

Speaker: Scott Sanner (NICTA, Australia)

Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a combinatorial blowup in the representation. An alternative approach is to lift a relational MDP to a first-order MDP (FOMDP) specification and develop solution approaches that avoid grounding.

Speaker: Gerhard Lakemeyer (Department of Computer Science, RWTH Aachen, Germany)

Our group has been involved with Robocup for more than five years. We started out in the so-called mid-size league with teams of four to five mobile robots playing soccer. Recently we have also entered the Robocup@Home league, where robots operate in a home environment.

Speaker: Andrea Bunt

Mixed-initiative approaches to GUI personalization combine aspects of purely adaptive approaches, which rely on AI techniques to automatically personalize the GUI, and adaptable approaches, which place the personalization onus solely on the user.

Speaker: Chun Wang (University of Western Ontario)

Many scheduling problems are inherently decentralized, such as those in supply chain management, production management, network-based information-processing environments, transportation and other types of service industries. In recent years, the importance of automated decentralized scheduling systems is increasing as a result of the significant growth of eMarkets.

Speaker: Yves Lesperance (York University)

In this talk, I will present a formal model of plan recognition for inclusion in a cognitive agent programming framework.

Speaker: Dana Wilkinson

There are a variety of domains where it is desirable to learn a representation of an environment defined by a stream of sensori-motor experience. This talk introduces and formalizes Subjective Mapping, a novel approach to this problem.