Artificial intelligent is a field of study that encompasses computational techniques for performing tasks that apparently require intelligence when performed by humans. Such problems include diagnosing problems in automobiles, computers and people, designing new computers, writing stories and symphonies, finding mathematical theorems, assembling and inspecting products in factories, and negotiating international treaties. It is a technology of information processing concerned with process of reasoning, learning, and perception.
Artificial intelligence is both an art and science. The activity of developing intelligent computer systems employs both proved mathematical principles, empirical results of studying previous systems, and heuristic, pragmatic programming techniques. Information stored in relational data structures can be manipulated by well-studied techniques of computer science such as tree-searching algorithms. At the same time, experimental or vaguely understood "rules of thumb" for problem solving are often crucial to the success of a system and must be carefully accommodated in intelligent systems.
The field of AI is fascinating because of this complementarity of art and science. There is a lot of room for creativity in AI, and yet there is a growing body of mature ideas that are beginning to give more rigorous support to the practice of AI.
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