Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
We show that in modeling social interaction, particularly dialogue, the attitude of obligation can be a useful adjunct to the popularly considered attitudes of belief, goal, and i...
This paper studies connectivity maintenance in robotic networks. We propose a distributed coordination algorithm that can be combined with the individual motion control strategies ...
The goal of this paper is to present a computational framework that enables us to generate elementary speech act sequences in a dialogue between an electronic assistant and a compu...
This paper details results of an experiment to empirically evaluate the effectiveness and user acceptability of human-like synthetic agents in a multi-modal electronic retail scen...
Helen McBreen, Paul Shade, Mervyn A. Jack, Peter J...