The 19th Century: Machine-Assisted Manufacturing Eli Whitney's proposal for a simplification and standardization of component parts marked a further milestone in the advance of the automation of work processes. In 1797 he suggested the manufacture of muskets with completely interchangeable parts. As opposed to the older method under which each gun was the individual product of a highly skilled gunsmith and each part hand-fitted, his method permitted large production runs of parts that were readily fitted to other parts without adjustment and could relatively easy be performed by machines. By the middle of the 19th century the general concepts of division of labor, assembly of standardized parts and machine-assisted manufacture were well established. On both sides of the Atlantic large factories were in operation, which used specialized machines to improve costs, quality and quantity of their products.

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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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Division of labor The term refers to the separation of a work process into a number of tasks, with each task performed by a separate person or group of persons. It is most often applied to mass production systems, where it is one of the basic organizing principles of the assembly line. Breaking down work into simple, repetitive tasks eliminates unnecessary motion and limits the handling of tools and parts. The consequent reduction in production time and the ability to replace craftsmen with lower-paid, unskilled workers result in lower production costs and a less expensive final product. The Scottish economist Adam Smith saw in this splitting of tasks a key to economic progress by providing a cheaper and more efficient means of producing economic goods.

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Artificial intelligence approaches Looking for ways to create intelligent machines, the field of artificial intelligence (AI) has split into several different approaches based on the opinions about the most promising methods and theories. The two basic AI approaches are: bottom-up and top-down. The bottom-up theory suggests that the best way to achieve artificial intelligence is to build electronic replicas of the human brain's complex network of neurons (through neural networks and parallel computing) while the top-down approach attempts to mimic the brain's behavior with computer programs (for example expert systems).

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