FRACTAL MEASURE-THEORY FOR KNOWLEDGE REPRESENTATION

A quantitative analysis of knowledge representation is attempted. Base d on the fractal theory and information measuring principles and metho ds, a series of quantitative concepts for knowledge representation, e. g. information capacity, entropy, information processing channel (IPC) , are proposed. From the viewpoint of information processing, the prin ciples of maximum entropy and increasing entropy are discussed, and th e types, characteristics and structures of information processing chan nel are also discussed. Finally, the quantitative theoretical analyses of several typical knowledge representation methods are given.