A learning method for imitating an association activation process of human memory. Experience and input information are recombined into multiple response schemes by means of experience summarization and experience generalization, the response schemes are evaluated according to an approach of seeking advantages and avoiding disadvantages, and a response is implemented by dividing one response scheme into multiple intermediate links to find imitable experience and other means. By means of the learning method for imitating an association activation process of human memory, machines can gradually obtain simple to complex responses to the input information and have emotional expressions similar to those of humans. This method shows a huge difference from the existing machine learning methods in the industry, and no similar method exists in the industry at present.
METHOD FOR IMITATING HUMAN MEMORY TO REALIZE UNIVERSAL MACHINE INTELLIGENCE