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This paper discusses the integration of intelligence into the supervision and control system of an Advanced Life Support System (ALSS). An ALSS is a complex, large-scale system that should be maintained solely by a small crew. Since an ALSS is operated far from Earth, the propagation delay of radio waves makes remote support from Earth difficult to implement immediately. Accordingly, an autonomous supervision and control system is essential. A supervision and control system comprises an automatic controller for ALSS equipment and crew who supervise the equipment conditions and operate it. The application of intelligent control to such an automatic controller reduces the load on the crew, allowing them to concentrate on their major missions. The concept of intelligent control proposed here is based on the SRK model that expresses human behavior with three cognitive behaviors. This paper utilizes simulation to verify the effectiveness of the proposed methods for intelligent control.

A Regenerative Life Support System (RLSS) is a system that establishes self-sustained material recycling and circulation within a space base on the Moon or Mars. This is a large-scale and complicated system comprising a lot of components such as humans, plants and material circulation system. A RLSS contains many factors with uncertainty, such as dynamics of plants and humans, and failure and performance deterioration of devices. In addition, a RLSS is a large-scale and complicated system extending gradually. An environment with uncertainty or a large-scale and complicated system may not be properly addressed by a centralized system. In particular, such a system cannot always gather accurate information in one center in a frequently shifting environment, thus appropriate processing may be difficult. Therefore, we tried autonomous decentralization of information or decision-making using a Multi-Agent System (MAS).