Abstract— This paper describes an original approach to writing reactive algorithms on highly dynamic networks. We propose to use randomly mobile agents to gather global informati...
We investigate the amount of cooperation between agents in a population during reward collection that is required to minimize the overall collection time. In our computer simulati...
Effective teamwork in highly dynamic environments requires a delicate balance between giving agents the autonomy to act and react on their own and restricting that autonomy so tha...
Henry Work, Eric Chown, Tucker Hermans, Jesse Butt...
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
—The current research analyses and demonstrates how spoken language can be used by human users to communicate with the HRP-2 humanoid to program the robot’s behavior in a coope...
Peter Ford Dominey, Anthony Mallet, Eiichi Yoshida