Dynamic decision support systems in a multi-agent environment

Multi-agent systems are widely used in modeling and control of modern industrial systems in such areas as transportation, supply chain management, simulations, and fault detection. These systems are often used for tasks where the environment is complex and constantly changing and thus requires a high degree of flexibility. In this paper, we propose a method to increase the flexibility and security of multi-agent systems by using dynamic decision support systems for intelligent agents. We demonstrate that this method significantly improves the flexibility and security of multi-agent systems by simplifying run-time modifications to the system.