In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
We propose a speech-based conversation environment called Voice Cafe for facilitating dynamic knowledge interaction. Dynamic knowledge interaction is a key concept for creative in...
In this article, we propose an approach of nonverbal interaction with virtual agents to control agents' behavioral expressivity by extracting and combining acoustic and gestu...
Matthias Rehm, Thurid Vogt, Michael Wissner, Nikol...
We develop a game semantics for process algebra with two interacting agents. The purpose of our semantics is to make manifest the role of knowledge and information flow in the int...