In situations where self-interested agents interact repeatedly, it is important that they are endowed with negotiation techniques that enable them to reach agreements that are pro...
Sarvapali D. Ramchurn, Carles Sierra, Lluis Godo, ...
The GRID and MAS (Multi-Agent Systems) communities believe in the potential of GRID and MAS to enhance each other as these models have developed significant complementarities. Thu...
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
This paper details the implementation of a software framework that aids the development of distributed and self-configurable software systems. This framework is an instance of a n...
David Lillis, Rem W. Collier, Mauro Dragone, Grego...
The paper generalizes the notion of a social law, the foundation of the theory of artificial social systems developed for coordinating Multi-Agent Systems. In an artificial social...