Indirect interactions have been shown to be of interest in MultiAgent Systems (MAS), in the simulation area as well as in real apns. The environment is also emerging as a first-ord...
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 multi-agent systems, social commitments are increasingly used to capture roles, social norms, the semantics of agent communication as well as other inter-agent dependencies. Th...
Philippe Pasquier, Roberto A. Flores, Brahim Chaib...
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
We present a multi-agent coordination technique to maintain throughput of a large-scale agent network system in the face of failures of agents. Failures do not just deteriorate th...