In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a...
— The dangerous and time sensitive nature of a disaster area makes it an ideal application for robotic exploration. Our long term goal is to enable humans, software agents, and a...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
Abstract. Our previous research presents a methodology of cooperative problem solving for beliefdesire-intention (BDI) systems, based on a complete formal theory called TEAMLOG. Th...
Marcin Dziubinski, Rineke Verbrugge, Barbara Dunin...