Automatic Identification of Importance of Equipment on Complex Life Support System

The purpose of Advanced Life Support System (ALSS) is to achieve life support in the ultimate environment by regenerating and circulating materials in the system. Because of their complexity of material circulation in ALSS, it is difficult to control whole-system material circulations and to handle on abnormal states in the system. Because of this, it is recommended that the material circulation in the system is controlled automatically, and if unpredictable events occur, it is preferable that the system adapts autonomously. We had proposed new autonomous control method based on a hierarchical control, automatic scheduling, and Multi-Agent Reinforcement Learning method, and had applied to a simple ALSS model. Last year, we considered if a number of equipment have a trouble at the same time, how to be reacted autonomously by control system. Especially, using mental model, we constructed the mechanism to determine what order should the problem be handled by control system automatically. In this year, we started how to construct the mental model automatically. Specifically, we considered how to the equipment learned its own importance in the system.