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autonomously operating cars, intelligent routing in content delivery networks, and military simulations.
Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and humanized artificial intelligence.
This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence which are issues that have been explored by myth, fiction and philosophy since antiquity.
In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.
By 1985, the market for AI had reached over a billion dollars.
At the same time, Japan's fifth generation computer project inspired the U.
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The study of mechanical or "formal" reasoning began with philosophers and mathematicians in antiquity.
The study of mathematical logic led directly to Alan Turing's theory of computation, which suggested that a machine, by shuffling symbols as simple as "0" and "1", could simulate any conceivable act of mathematical deduction.
This insight, that digital computers can simulate any process of formal reasoning, is known as the Church–Turing thesis.
Along with concurrent discoveries in neurobiology, information theory and cybernetics, this led researchers to consider the possibility of building an electronic brain.
The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields.