Abstract
An expert system is an important tool that a machine can substitute for an expert through the design of a knowledge base and inference engine using the experience or knowledge of an expert. Further, in the real world, a complex system requires synthetic estimation with the input of experts in various fields for the correct estimation of the situation, not any one expert. In particular, synthetic estimation is more important to navigation situations than in other cases, because of diverse potential threats. This paper presents a method of knowledge fusion pertaining to navigation safety knowledge from various expert systems, using a blackboard system
