When designing product behavior, the designer often needs to communicate to experts in computer software and protocols. In present-day software engineering, formal specification m...
Jun Hu, Philip Ross, Loe M. G. Feijs, Yuechen Qian
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
Throughout the history, the evolutions of the requirements for manufacturing equipments have depended on the changes in the customers' demands. Among the present trends in th...
Developing agent applications is a complex and difficult task due to a variety of reasons. One key aspect making multi-agent systems more complicated than traditional applications ...
In distributed scenarios the robustness of a reputation mechanism depends on the data available for computation. Especially in ad-hoc networks the amount of available data is rest...