1950s: The Beginnings of Artificial Intelligence (AI) Research

With the development of the electronic computer in 1941 and the stored program computer in 1949 the conditions for research in artificial intelligence (AI) were given. Still, the observation of a link between human intelligence and machines was not widely observed until the late 1950s.

A discovery that influenced much of the early development of AI was made by Norbert Wiener. He was one of the first to theorize that all intelligent behavior was the result of feedback mechanisms. Mechanisms that could possibly be simulated by machines. A further step towards the development of modern AI was the creation of The Logic Theorist. Designed by Newell and Simon in 1955 it may be considered the first AI program.

The person who finally coined the term artificial intelligence and is regarded as the father of AI is John McCarthy. In 1956 he organized a conference "The Dartmouth summer research project on artificial intelligence" to draw the talent and expertise of others interested in machine intelligence for a month of brainstorming. In the following years AI research centers began forming at the Carnegie Mellon University as well as the Massachusetts Institute of Technology (MIT) and new challenges were faced: 1) the creation of systems that could efficiently solve problems by limiting the search and 2) the construction of systems that could learn by themselves.

One of the results of the intensified research in AI was a novel program called The General Problem Solver, developed by Newell and Simon in 1957 (the same people who had created The Logic Theorist). It was an extension of Wiener's feedback principle and capable of solving a greater extent of common sense problems. While more programs were developed a major breakthrough in AI history was the creation of the LISP (LISt Processing) language by John McCarthy in 1958. It was soon adopted by many AI researchers and is still in use today.

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THE BIRTH OF ARTIFICIAL INTELLIGENCE
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Introduction: The Substitution of Human Faculties with Technology: Artificial Intelligence and Expert Systems

Research in artificial intelligence, starting in the 1960s, yet formulated a new goal: the automation of thought processes with intelligent machines. Although first attempts to develop "thinking" machines had only little success as the aimed at solving very general problems, the invention of expert systems marked a breakthrough. Albeit the application of those semi-intelligent systems is (still) restricted to quite narrow domains of performance, such as taxation and medical image interpretation, they are able to mimic the knowledge and reasoning capabilities of an expert in a particular discipline. While the development of intelligent machines, which are able to reason, to generalize and to learn from past experience is not likely to become reality in the very near future, research in artificial intelligence progresses quickly and sooner or later the substitution of men's unique faculties will come true.
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1980s: Artificial Intelligence (AI) - From Lab to Life

 

Following the commercial success of expert systems, which started in the 1970s, also other AI technologies began to make their way into the marketplace. In 1986, U.S. sales of AI-related hardware and software rose to U.S.$ 425 million. Especially expert systems, because of their efficiency, were still in demand. Yet also other fields of AI turned out to be successful in the corporate world.

Machine vision systems for example were used for the cameras and computers on assembly lines to perform quality control. By 1985 over a hundred companies offered machine vision systems in the U.S., and sales totaled U.S.$ 80 million. Although there was a breakdown in the market for AI-systems in 1986 - 1987, which led to a cut back in funding, the industry slowly recovered.

New technologies were being invented in Japan. Fuzzy logic pioneered in the U.S. and also neural networks were being reconsidered for achieving artificial intelligence. The probably most important development of the 1980s was, that it showed that AI technology had real life uses. AI applications like voice and character recognition systems or steadying camcorders using fuzzy logic were not only made available to business and industry, but also to the average customer.
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