Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
: Multi-Agent systems follow a highly abstract programming paradigm. of this abstraction level, behaviours of the participants are not always clearly reproducible for humans. In th...
Many approaches of the agent paradigm emphasize the social and intentional features of their systems, what are called social properties. The study of these aspects demands their ow...
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
Purpose – This paper aims to address some security issues in open systems such as service-oriented applications and grid computing. It proposes a security framework for these sy...