Rule based reasoning and case based reasoning have emerged as two important and complementary reasoning methodologies in artificial intelligence (Al). This paper describes the approach for the development of CORMS AI, a decision support system which employs rule-based and case-based reasoning to assist National Ocean Service watch standing personnel in monitoring the quality of incoming and outgoing marine environmental data and information.

CORMS AI has proven to be robust, extendable, and cost effective. It is estimated that CORMS AI will save government over one million dollars per year when its full range of quality control monitoring capabilities is implemented.