A notion for machine learning: knowledge developability
M.-H. Chen · 1988
A notion, called knowledge development, for measuring the intelligence of machines is studied in the context of designing a versatile learning system. The notion is used in several ways: (1) it provides a guide to verify the overall intelligence of the expected machine, (2) it is claimed that an intelligently learning system should be able to assess the gain of intelligence level when a piece of knowledge is to be learned, and the notion can be used to address the feasibility of such an assessment and (3) it draws a justifiable boundary between the machine's responsibility and the user's responsibility. The base model of a general computing machine used is a Mealy finite state machine.>