In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Virtual Organizations (VOs) are becoming an increasingly important research topic in the field of Multi-Agent Systems (MAS). The problem of selecting suitable counterparts to inte...
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
Artifacts for Multi-Agent Systems have been defined as runtime entities providing some kind of function or service that agents can fruitfully exploit to achieve their individual o...
Both software applications and their development environment are becoming more and more distributed. This trend impacts not only the way software computes, but also how it looks. T...