Learn to Adapt to the Influence of Intelligent Software on the Representation and Calculation of the Properties of Objects

The core of intelligence is how to represent and calculate the properties of objects (thinking, movement, etc., can become objects) in order to adapt to the environment. In this paper, we mainly take the spatial location attribute as an example to discuss the representation of objects that do not need to be the object of primary attention and the excitation, memory, reward and punishment learning of the corresponding memory column group. It is pointed out that the “skeleton” of the thinking mode is composed of the common attributes of objects, and a reasoning model mediated by the common attribute of spatial location is discussed. At the same time, it is pointed out that the learning mode of reward and punishment of the special sensory memory column group is similar to that of the ordinary sensory memory column group. Finally, this paper discusses the reward and punishment learning problem of imaginative recall.