Extensive Reading of the principles of Information Science (Zhong Yixin)

Some time ago, the library borrowed such a book. It seems to be related to our major (information), and it is a theoretical aspect. We need to take a look at more things.

A pure theoretical book is filled with text and mathematical symbols, which are representative of advanced books.

With the rise of information science, there has been a modern science centered on material, energy, and information. The concept of information science has exceeded the boundaries of natural science, it has penetrated into various fields of social science and has become an emerging cross-science.

Shannon information is a statistical syntactic information, which is a special case of "full information. Statistical syntax information is only a special case of syntax information. Shannon information only covers the statistical type and cannot process non-statistical types. Therefore, we need to study Fuzzy Information and accidental information.

Measure Methods of full information theory

1. Measure the probability syntax information, including the Hartley method, Shannon probability entropy, Shannon Method improvement, and information deterioration.

2. Measure the fuzzy syntax information.

3. unified measurement of syntax information.

The theory of information acquisition is recognition theory.Obtaining information is the first step in the information process.

The first step of Information Acquisition is information awareness, and then information identification. Methods used for information recognition include statistical identification, linguistic methods (based on automated machines), and neural network methods (such as the famous MLP
The training method is the BP algorithm, which is characterized by the so-called mentor training algorithm), machine learning (supervised learning system, unsupervised learning system, conditional reflex learning system, and analogy learning system, deductive Learning System
System, inductive learning system)

Information Transmission Principle: Communication Theory

Shannon's first, second, and third encoding theorem theoretically reveals the boundaries between communication validity, transmission reliability, and information security. These theories constitute the core of the entire information transmission principle.

Through proper coding, two seemingly opposite important indicators, high efficiency and high quality, can be perfectly unified.

Information Cognition principle: Knowledge TheoryGenerate inductive and deductive knowledge.

Information regeneration principle: Decision Making Theory

Information Thinking principle: Intelligence Theory

The definition of artificial intelligence allows machines to successfully obtain, process, and use information to solve problems in a certain environment and for a certain purpose, so as to achieve the goal.

General Model Control Strategy of Artificial Intelligence Theory Based on syntax Information

Semantic Information-based Artificial Intelligence Theory predicate logical paradox-Based Reasoning

Artificial intelligence theory based on pragmatic information heuristic search game tree search Intelligent Search

Artificial neural network theory carries out image thinking. The two most basic artificial neural network models are the multi-layer sensor model (MLP) and the CNN model.

Principle of Information effectiveness: Control Theory

The total content is almost the same. Theoretical things are not so easy to understand, but there is a rough outline. If you want to use it again, it is good to learn one of them.

Created by jecray