Fhorganization; New Organization Model for Multi-Agent Systems

Nowadays, multi-agent systems are frequently used to control big components of IT systems. Since this systems are big and use and produce big data, the control of multi-agents systems by people is not beneficial anymore. So, self-organization, in which agents can organize themselves, is proposed as a resolution. In a self-organizing multi-agent system, the desired behavior of system is emerged based on local behavior of agents. But, emergence is not always as we desired and can result in a manner that we do not want the system to have it. On the other hand, self-adaptation is a centralized and top-down process, in which a central control loop can monitor, analyze, plan and execute decisions on a controlled element. Therefore, a combination of self-organization and self-adaptation can help the system stay self-organized while the bad results of emergence are controlled by self-adaptation features. Recently, combining selforganization and self-adaptation features is becoming a trend. In this paper, we tried to propose an organization model for self-organizing multi-agent system based on self-adaptation features to control emergence.