Multi-agent systems is an evolving discipline that encompasses many different branches of research. The long-standing Agents at Aberdeen ( A 3 ) group undertakes research across several areas multi-agent systems, focusing in particular on aspects related to resilience, reliability, and coordination. In this article we introduce the highlight past successes those themes, building a picture stren...

The existing multi-agent reinforcement learning methods (MARL) for determining the coordination between agents focus on either global-level or neighborhood-level agents. However problem of individual is remain to be solved. It crucial an optimal coordinated policy in unknown environments analyze agent's roles and correlation To this end, paper we propose agent-level based MARL method. Specifica...

Smart spaces are open complex computing systems, consisting of a large variety of cooperative smart things. Central to building smart spaces is the support for sophisticated coordination among diverse smart things collaborating to accomplish specified tasks. Multi-agent systems are often used as the software infrastructures to address the coordination in smart spaces. However, since agents in s...

Exploring agent conversation in the context of fine-grained agent coordination research has raised several intellectual questions. The major issues pertain to interactions between different agent conversations, the representations chosen for different classes of conversations, the explicit modeling of interactions between the conversations, and how to address these interactions. This paper is n...