Abstract. In this abstract, we present a complex multiagent environment, the RoboCupRescue simulation, and show some of the learning opportunities for the coordination of agents in...
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
In a collaborative environment, knowledge about collaborators’ skills is an important factor when determining which team members should perform a task. However, this knowledge ma...
Abstract. The student modeling (SM) is a core component in the development of Intelligent Learning Environments (ILEs). In this paper we describe how a Multi-agent Intelligent Lear...