One aspect of an establishment of an artificial general intelligence system imitates the similarity, repetitiveness and proximity between information, and stores together, as a preset relationship network, symbols representing need, reward/punishment, emotion and others and associated low-level features. When a machine faces input information, the machine identifies the low-level features of the input information by means of iteration, which are saved in a memory by means of a simultaneous storage method. Relationships between the low-level features and symbols representing need, reward/penalty and emotion are established using these low-level features as nodes and using inter-node similarity, repetitiveness and proximity as connecting relationships. The relationship network is expanded. On the other hand, by using the low-level features and a chained association activation process, the machine seeks associated low-level features; seeks imitable experience using a segmented imitation method; regroups the experience based on the principle of seeking reward and avoiding penalty and forms an optimal response path; and iterating and decomposing the optimal response path into a low-level drive command sequence.
ESTABLISHMENT OF ARTIFICIAL GENERAL INTELLIGENCE SYSTEM