Knowledge Representation by Naive Mental Image

The ability of computers to perceive outside world is very poor, that could be improved by simulating human beings' low level cognitive function. Perception is the most primary skill of cognition, the knowledge what it needed to make order out of a chaos of physical stimulation——a senseless, meaningless milieu, to achieve meaningful knowledge of the physical universe, is not appropriate to be represented by formal symbols. On the base of visual perception research, a new method of naive mental image represented distributedly among neural network, which is a hierarchical model of visual center cortex, is discussed in this paper. There are no cognition units representing the concept of objects but the concept of objects is only represented by the activities distributed over various regions of units. The significance of this direct knowledge representation for the most kernel problems, such as pre eminence of knowledge and conceptualization,disembodiment,learning separation,kinematics of cognition, are also considered at the end of this paper.