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SSHRC Awarded IG 2018: This Aboriginal and community-based, participatory research project aims to co-create knowledge about the holistic (emotional, mental, physical, and spiritual) benefits to Indigenous youth of participating in northern games, and to identify factors that might be modified to...
Action Selection for Hammer Shots in Curling: Optimization of Non-convex Continuous Actions With Stochastic Action OutcomesDownload
Optimal decision making in the face of uncertainty is an active area of research in artificial intelligence. In this thesis, I present the sport of curling as a novel application domain for research in optimal decision making. I focus on one aspect of the sport, the hammer shot, the last shot...
Believable, realistic video game character behaviour continues to lag behind the improvements in graphics, stories and game play in video games. In this dissertation we focus on the use of two techniques, emotional gaits and emotional incidents, as a way to add easily identifiable, non-verbal,...
With the rise of services like Steam and Xbox Live, multiplayer support has become essential to the success of many commercial video games. Explicit, server-client synchronisation models are bandwidth intensive and error prone to implement, while implicit, peer-to-peer synchronisation models are...
This research focuses on developing AI agents that play arbitrary Atari 2600 console games without having any game-specific assumptions or prior knowledge. Two main approaches are considered: reinforcement learning based methods and search based methods. The RL-based methods use feature vectors...
Current state-of-the-art algorithms for trick-taking card games use a process called determinization. Determinization is a technique that allows the application of perfect information state evaluation algorithms to imperfect information games. It involves a two-step process in which a perfect...
Museums and science centres are an excellent space for science and research to intersect by providing the general public opportunities to work with scientists who conduct the research and scientists to unpack their research for the public (e.g., Andre, Durksen, & Volman, 2016).
Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible....
The game of Hex is of interest to the mathematics, algorithms, and artificial intelligence communities. It is a classical PSPACE-complete problem, and its invention is intrinsically tied to the Four Colour Theorem and the well-known strategy-stealing argument. Nash, Shannon, Tarjan, and Berge are...