This paper presents an analysis of static and dynamic organizational structures for naturally distributed, homogeneous, cooperative problem solving environments, exemplified by di...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Autonomous agents can help users by taking on a substantial workload, and performing tasks that are too complex for a human. However, in some systems complete autonomy is undesira...
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
Quality of Service (QoS) management becomes more and more important, especially in networks where many applications are competing for a limited number of resources. As these appli...
Stefan Fischer, Abdelhakim Hafid, Gregor von Bochm...