Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Rosebud is a user-interface prototype which elicits storytelling by child users though interaction with a computationally-augmented physical artifact. In particular, Rosebud links...
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
Many incoming college freshmen have accumulated a significant number of hours of experience playing computer games. Extending that experience to actual game creation activities ca...