Abstract. Control for agents situated in multi-agent systems is a complex problem. This is particularly true in hard, open, dynamic environments where resource, privacy, bandwidth,...
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
This paper presents an experiment that evaluates and compares the user enjoyment when playing a game of chess in two situations: against a physically embodied robotic agent and ag...
In this paper we propose a computational model for human-agent and agent-agent conversation. This model has two fundamental characteristics: (1) it takes into account the implicit ...
In conversation,a person sometimeshasto refer to anobjectthat is not previously known to the other participant. We present a planbased model of how agents collaborate on reference...