Coordination infrastructures have played a central role in the engineering of multi-agent systems (MAS). Although MAS research has produced a number of notable coordination infrastructures of varying features, these have been mainly conceived to host software agents and to facilitate multi-agent programming. Thus, human agents have been mostly kept out of the picture, hence hindering the use of...

Abstract In artificial multi-agent systems, the ability to learn collaborative policies is predicated upon agents’ communication skills: they must be able encode information received from environment and how share it with other agents as required by task at hand. We present a deep reinforcement learning approach, Connectivity Driven Communication (CDC), that facilitates emergence of behaviour o...

This paper presents an approach for multi-robot coordination based both on coordinated navigation and task allocation method. An ad hoc agent based architecture is defined in order to implement the robot control system in both simulation and real applications. The coordination of the multi-robot system is based on agent interaction and negotiation, and a communication infrastructure based on op...

This research paper deals with Distributed Reconfigurable Embedded Control Systems (RECS) which can dynamically follow different behaviors at run-time according to user requirements or any possible evolution in its environment. We optimize a multi-agent architecture for the system in which a Reconfiguration Agent is affected to each device to apply local reconfigurations, and a Coordination Age...