Adaptive Autonomy Expert System in Smart Grid based on Deterministic Timed Petri Nets

Interaction of humans and computer agents should be harmonized by adapting the utomation level of IT systems, to maintain a high performance for the system, in the changing environmental condition . This research presents an expert system for realization of adaptive autonomy (AA), using deterministic time Petri nets (DTPNs), referred to as AAPNES. The design is based on the practical list of environmental conditions nd superior expert`s judgments. As revealed by the results, the presented AAPNES can effectively determine the proper level of automation for the changing performance shaping factors of human-automation interaction systems in the smart grid.