At 20:00 on January 6, 2021, Professor Li angsheng of Beijing University of Aeronautics and Astronautics will be invited to share the "mathematical principles of the information world" in the online science and technology public welfare live lecture hosted by CAAI and CAAI artificial intelligence foundation special committee.

Shannon established the mathematical theory of communication in 1948, perfectly solved the theoretical problem of information transmission, and initiated the research of information theory. However, as a science, the basic problem of information in the concept of communication has not been well solved for a long time. Strictly speaking, entropy is the quantity of uncertainty, information is the quantity of eliminated uncertainty, and information is the quantity of eliminated uncertainty. Information is the basic concept of nature and the real world. It is the same basic concept as number. So what is information science? I believe you will find the answer in this issue of science and technology public welfare live broadcast lecture.

The real world is the result of the combined action of certainty and uncertainty. Certainty and uncertainty can be transformed into each other, and the transformation is conditional. Professor Li angsheng calls the action required for this transformation strategy. He defined information science as a discipline that studies the law and function of the mutual transformation of certainty and uncertainty. The three basic problems of information science are: information transmission (Shannon solved it perfectly), information decoding and information generation. For a long time, establishing the mathematical theory of information decoding and information generation has been a basic and challenging scientific problem in Information Science and machine intelligence.

Professor Li angsheng put forward the concept of coding tree and gave the mathematical model and data structure of layer spectrum abstraction; The principles of structural entropy minimization and decoding information maximization are established; The information generation strategies and mathematical methods including observation, abstraction, association, imagination, prediction and creation are proposed, and the information generation principle of entropy maximization is established. The mathematical theory of information decoding and the mathematical theory of information generation have laid a new theoretical foundation for the establishment of information processing, machine learning and machine intelligence. This live broadcast will introduce the new principles, theories and methods of information science.