Principles of construction technical expertise (expert examination) informatization

Principles of expert systems

Training principles to advance expertise

INTRODUCTION There are three forms of task engagement that are the basis of successful training for expertise—acquisition, retention, and transfer—and three corresponding goals of training—efficiency, durability, and generalizability. This paper reviews training conditions that facilitate acquisition, enhance retention, and promote transfer to contexts not encountered during training. Diligent ...

Application of Grey Prediction Model in Rural Informatization Construction

Grey system theory has been widely applied to many domains such as economy, biology, agriculture, control and so on. Based on the theory of grey system, this paper established GM(1,1) grey predict modeI for the first time to forecast Chinese every hundred rural households owned computers and every hundred rural households owned mobile phone. The predicting results are almost close to the actual...

The Scientific and Technical Service Function of Agricultural Digital Library in Countryside Informatization Development and Construction under Network Environment

By analyzing internet popularization in rural China and open questions in rural information service, together with service function of agricultural digital library in rural informatization construction, this article makes a study of how to give full play to agricultural digital library's various advantages, in order to make even greater contributions to our country's rural informatization const...

Expertise and expert systems: emulating psychological processes

The role of personal construct psychology in computer research and applications concerned with the development of ‘expert systems’ and their beginnings in ‘artificial intelligence’ and ‘cognitive science’ are covered in this chapter. Research on expert systems led to the identification of the ‘knowledge acquisition bottleneck,’ that it was generally extremely difficult to make overt the presume...