Introduction: The Substitution of Human Faculties with Technology: Computers and Robots With the development of modern computing, starting in the 1940s, the substitution of human abilities with technology obtained a new dimension. The focus shifted from the replacement of pure physical power to the substitution of mental faculties. Following the early 1980s personal computers started to attain widespread use in offices and quickly became indispensable tools for office workers. The development of powerful computers combined with progresses in artificial intelligence research also led to the construction of sophisticated robots, which enabled a further rationalization of manufacturing processes.

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1960s - 1970s: Expert Systems Gain Attendance The concept of expert systems dates back to the 1960s but first gained prominence in the 1970s. Conclusive for this development were the insights of the Stanford University professor Edward Feigenbaum, who in 1977 demonstrated that the problem-solving capacity of a computer program rather is a result of the knowledge it posses, than of the applied programming techniques and formalisms. Expert systems were designed to mimic the knowledge and reasoning capabilities of a human specialist in a given domain by using (top down) artificial intelligence techniques. Made possible by the large storage capacity of the computers at the time, expert systems had the potential to interpret statistics and formulate rules. An initial use of expert systems was to diagnose and treat human physical disorders, but as its applications in the market place were extensive over the course of the following years they were also employed in fields such as stock market forecast, taxation, chemistry, and geology.

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Automation Automation is concerned with the application of machines to tasks once performed by humans or, increasingly, to tasks that would otherwise be impossible. Although the term mechanization is often used to refer to the simple replacement of human labor by machines, automation generally implies the integration of machines into a self-governing system. Automation has revolutionized those areas in which it has been introduced, and there is scarcely an aspect of modern life that has been unaffected by it. Nearly all industrial installations of automation, and in particular robotics, involve a replacement of human labor by an automated system. Therefore, one of the direct effects of automation in factory operations is the dislocation of human labor from the workplace. The long-term effects of automation on employment and unemployment rates are debatable. Most studies in this area have been controversial and inconclusive. As of the early 1990s, there were fewer than 100,000 robots installed in American factories, compared with a total work force of more than 100 million persons, about 20 million of whom work in factories.

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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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