Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
We present our experiences using the RoboCup soccerserver simulator and Biter, our own agent platform, for the teaching of a graduate multiagent systems' class. The RoboCup s...
This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...
Abstract. This paper describes a laboratory equipped for the teaching of realtime systems. The laboratory has been built around a Digital Model Railroad Platform and it allows the ...
This paper describes a research plan to address the undergraduate learning challenges encountered when teaching an introductory simulation course in Industrial Engineering program...