Extendable expert rule model and implementations in manned space mission collaboration planning

In manned space mission collaboration planning, expert rules are used to raise the efficiency of automatic scheduling. A method based on stack is proposed in this paper to organize the rules in strict format so that they can be traced and maintained. Internal rule library is a collection of rules which defined within planning system. Due to mission variability, the rule library needs to be extended and extension solutions are proposed in three levels. With its support, the experts can use internal rules and also add additional rules which are more complex. Implementation techniques of extendable rules are also discussed in respects of data structure and extension resources. With rules and extendable rule libraries, collaboration plan are scheduled more easily.