Artificial intelligence (ArTIficialIntelligence), English abbreviation for AI. It is a new technical science that studies and develops theories, methods, techniques, and applications that simulate, extend, and extend human intelligence.
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in this area includes robotics, speech recognition, image recognition, Natural language processing and expert systems. Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application fields have been expanding. It is conceivable that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can be like human thinking, and it may exceed human intelligence.
Artificial intelligence is a challenging science, and people who do this work must understand computer knowledge, psychology, and philosophy. Artificial intelligence is a very broad science that consists of different fields, such as machine learning, computer vision, etc. In general, one of the main goals of artificial intelligence research is to make machines capable of doing what is usually required by human intelligence. Complex work. But different eras and different people have different understandings of this "complex work." [1] In December 2017, artificial intelligence was selected as one of the “Top Ten Chinese Media in 2017â€.
Practical application
Machine vision, fingerprint recognition, face recognition, retina recognition, iris recognition, palmprint recognition, expert system, automatic planning, intelligent search, theorem proof, game, automatic programming, intelligent control, robotics, language and image understanding, genetics Programming, etc.
Subject area
Artificial intelligence is an interdisciplinary subject that belongs to the intersection of natural sciences and social sciences.
Involved subject
Philosophy and cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, uncertainty theory
Research area
Natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling problem, perception problem, pattern recognition, logic programming soft computing, inaccurate and uncertain management, artificial life, neural network, Complex system, genetic algorithm
Awareness and artificial intelligence
Artificial intelligence, by its very nature, is a simulation of the information process of human thinking.
For people's thinking simulation can be carried out from two roads, one is structural simulation, modelling the structure of the human brain, creating a "human brain" machine; the second is functional simulation, temporarily opening the internal structure of the human brain, and from its The functional process is simulated. The generation of modern electronic computers is a simulation of the thinking function of the human brain, and it is a simulation of the information process of human brain thinking.
Weak artificial intelligence is constantly developing rapidly. Especially after the economic crisis in 2008, the United States, Japan and Europe hope to realize re-industrialization by robots. Industrial robots are developing at a faster speed than ever before, which has led to weak artificial intelligence and related industries. The constant breakthrough, many of the work that must be done by people can now be realized with robots.
Strong artificial intelligence is temporarily at the bottleneck, and it requires the efforts of scientists and humans.
Artificial intelligence is a comprehensive discipline, as it is said upstairs. And it is divided into several aspects such as neural network, machine recognition, machine vision, robots and so on. It is not easy for a person to self-learn all artificial intelligence. For you want to know how deep the artificial intelligence needs to be programmed. How to say it is good, whether it is C++ or assembly, it is a language that will be used flexibly. The hybrid programming mode used in most robot simulations is a combination of multiple programming software and languages. The reason is to make up for the lack of language. Prolog is more prominent in terms of logical deduction. C++ is more prominent in terms of hardware interface and windos connection. MATLAB is more prominent in mathematical model calculation. If the single-learn artificial intelligence algorithm is prolog enough, if you want to develop a machine simulation program, VC++MATLAB should learn more. Learn what books you want to buy. I can only introduce you to the book I have read, and you can do it yourself.
Artificial intelligence algorithm: "Artificial Intelligence and Its Application" third edition, artificial intelligence and knowledge engineering. It’s ok to buy one of these two feelings. The first one feels simple and comprehensive. There are many such books in fact. Most of the content is repetitive, so buy one or two copies.
Machine Vision Algorithms: Machine Vision Algorithms and Applications is mostly about machine vision applications in industrial production. It is not very simple from the content, it is recommended not to learn as an introductory textbook.
Robot: The new version of the "Robot Technology Handbook" Japanese translation of the book, probably this is the only book I found in Dangdang, a more comprehensive and practical robot. This book is comprehensive in terms of basics to applications and some practical problems with robots. It is highly recommended to buy one.
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