Self-Evolving Decision Support Systems in Multi-agent Environment

Multi-Agent Systems have been in the focus of research interest for a long time. These systems are used widely in such areas as logistics, management, various simulations, game development and many others. In this paper, we search for a method to increase flexibility and efficiency of Multi-Agent Systems by investigating the usefulness of Decision Support Systems for intelligent agents in multi-agent environment. We also research advantages, such as the ability to add new agents at run-time, and disadvantages, such as increased complexity, of creating and modifying Decision Support Systems dynamically in Multi-Agent System.