This paper,combining the characteristic of situation assessment,introduces two kinds of methods of situation assessment that are based on Blackboard and Bayesian network, analyzes their advantages and disadvantages,and chooses Bayesian network to assess situation.

Base on human cognitive mechanism,a control Ar chi tecture for discrete system is presented applying Case-based reasoning and Blackboard techniques to automatically accumulating knowledge.

A distributed control architecture for discrete system is presented applying casebased reasoning and blackboard techniques, in which a technique for automatically accumulating knowledge is embedded.

Improved blackboard architecture is used to solve the problem of Role Allocating and Multi-Agent cooperation.

The blackboard structure is used in the expert system in beam designing for wall sheets hung on both sides.

By dividing powerstation operation into a series of sequencial submission with Blackboard Structure,different powerstation with respective topological diagram can be dealed with by the system with Case Based Learning.

In the CAPP decision,the Object Oriented technique is applied to predefine the blackboard structure,knowledge source structure and decision strategy;it provides a simple and friendly platform for the design of the CAPP expert system.