Test Which School of Artificial Intelligence do You Belong to?

Jarvis+
5 min readJul 10, 2020

The school of artificial intelligence is a cutting-edge interdisciplinary subject. What is an interdisciplinary subject? It is this discipline that covers a lot of knowledge of other disciplines. Why are there interdisciplinary? Interdisciplinary subjects are mainly aimed at some open issues. The artificial intelligence understood by philosophers, psychologists, biologists and programmers must be different. Because there are so many disciplines to participate in the discussion of artificial intelligence, artificial intelligence has produced some major schools.

The main schools of artificial intelligence are:
1. Symbolism , also known as logicism , psychology school 1653 (psychologism) or computer school (computerism), whose principles are mainly physical symbol system (ie, symbolic operating system) assumptions and principles of limited rationality.
2. Connectionism , also known as bionicsism (physiologism) or physiologism , whose main principle is neural network and neural network connection mechanism and learning algorithm.
3. Behaviorism, also known as evolutionism or cybernetics, whose principles are cybernetics and perception-action control systems.

#1. Symbolism

Symbolism is mainly for some people who do mathematical logic and psychology, and will tend to do some research in this direction. Symbolism believes that artificial intelligence stems from mathematical logic.

Mathematical logic has developed rapidly since the end of the 19th century and was used to describe intelligent behavior in the 1930s. After the advent of the computer, a logical deduction system was implemented on the computer. Its representative achievement is the heuristic program LT logic theoretician, who has proved 38 mathematical theorems, which shows that the computer can be used to study human thinking and simulate human intelligence activities. It was these semiotics who first adopted the term “artificial intelligence” as early as 1956. Later, heuristic algorithm->expert system->knowledge engineering theory and technology was developed, and great development was achieved in the 1980s.
Symbolism once stood out for a long time, making important contributions to the development of…

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