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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Internet Protocol Number (IP Number) Every computer using TCP/IP has a 32 bit-Internet address, an IP number. This number consists of a network identifier and of a host identifier. The network identifier is registered at and allocated by a Network Information Center (NIC), the host identifier is allocated by the local network administration. IP numbers are divided into three classes. Class A is restricted for big-sized organizations, Class B to medium-sized ones as universities, and Class C is dedicated to small networks. Because of the increasing number of networks worldwide, networks belonging together, as LANs forming a corporate network, are allocated a single IP number.

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