T/IGRS 0014-2021 Artificial intelligence reference framework for brain-like intelligence systems
T/IGRS 0014-2021 Artificial intelligence reference framework for brain-like intelligence systems
Basic Information
Scope
Scope: This document provides a reference framework and technical requirements for brain-like intelligent systems. This document is applicable to the design and development of brain-like intelligent systems; Main technical content: The process of human intelligence has so far been listed as one of the four mysteries in the field of natural science, and the field of artificial intelligence has so far been unable to provide a mathematical definition of intelligence. The basic theory of brain-like intelligence is still a blank. At the closing ceremony of the 21st Annual Conference of the China Association for Science and Technology, the association released 20 frontier scientific problems and engineering technical challenges in 2019 that have a guiding role in scientific development and a key role in technological and industrial innovation. Among them, two problems are also related to the principles of human brain information processing: (1) the root cause of the generation of emotional consciousness; (2) the intelligent generation mechanism of artificial intelligence systems. We regard the human brain as an information processing system that receives information from various tissues of the body, such as vision, hearing, taste, smell, and touch. After processing, it issues commands to control the body's behavior. This information processing system theoretically has an information processing model as its working principle, and this principle is the same for people of different genders, ages, and races. Through the study of the working mechanism of the human brain, we proposed a mathematical model of brain information processing (Knowledge-Requirement-Memory, KRM model), which can well explain various abilities of human intelligence, such as cognition, thinking, learning, creativity, language, emotion, and dream, and has been proven to be able to solve human mental problems. We hope to use brain-like intelligence to promote continuous innovation of the next-generation ar