Abstract: The tunnel operator monitors and regulates the flow of traffic inside a tunnel, and takes actions in case an incident occurs. TNO has developed a training simulator that enables the operator to train incident situations. We are currently improving the simulator by developing intelligent agents that support a qualified operator, who trains himself, without the presence of a human instructor. This paper provides an overview of research activities in this project. In particular, it describes two types of educational agents, the authoritative instructor agent and the non-authoritative companion agent.
Abstract: In this paper we discuss how the design of an IntelligentCompanion constitutes a challenge and a test-bed for computer-based technologies aimed at improving the user's cognitive abilities. We conceive an IntelligentCompanion to be an autonomous cognitive system (ACS) that should be capable of naturally interacting and communicating in real-world environments. It should do so by embodying (reinforcement) learning of physically grounded conceptualizations of multimodal perception, decision making, planning and actuation, with the aim of supporting human cognition in both an intelligent and intelligible way.