In this paper is we apply insights from mechanism design to the design of agent interaction protocols. We show how this allows us a more flexible approach to the design of agent ...
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
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Intelligent and autonomous software agents may engage in dialogue and argument with one another, and much recent research has considered protocols, architectures and frameworks for...
Enrico Oliva, Mirko Viroli, Andrea Omicini, Peter ...
In this paper, we describe the unique security issues involved in healthcare domains. These have been addressed to the needs of the HealthAgents project. In the proposed approach,...