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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Open Systems Interconnection (OSI) Open Systems Interconnection (OSI) is a standard reference model for communication between two end users in a network. It is used in developing products and understanding networks. Source: Whatis.com

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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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