This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
A multiagent architecture for vehicle and structural health monitoring is proposed. A prototype using this architecture was developed using JADE. Critical aspects of the design wer...
Albert C. Esterline, Bhanu Gandluri, Mannur Sundar...
In a navigation-oriented interaction paradigm, such as desktop, mixed and augmented virtual reality, recognizing the user needs is a valuable improvement, provided that the system...
— We study minimalism in sensing and control by considering a multi-agent system in which each agent moves like a Dubins car and has a limited sensor that reports only the presen...