Resource management is an important infrastructure in the grid computing environment. Scalability and adaptability are two key challenges in the implementation of such complex sof...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Abstract. The vision of agents working together on the Internet, in virtual organizations, is one that is increasingly common. However, one of the issues is the regulation of the p...
Carles Sierra, John Thangarajah, Lin Padgham, Mich...
In this research, we re-arrange FIPA’s ACL performatives to form a subsumption lattice (ontology) and apply a theory of social commitments to achieve a simplified and observable...
In many multiagent settings, each agent's goal is to come out ahead of the other agents on some metric, such as the currency obtained by the agent. In such settings, it is no...