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Knowledge-Based SystemsA knowledge-based system is a computer program that reasons and uses knowledge to solve complex problems. Traditionally, computers have solved complex problems using arithmetic algorithms created by programmers. With knowledge-based systems, human knowledge is captured and embedded explicitly within a program in a symbolic format.

Expressing knowledge as rules and heuristics has two particular advantages over previous software development technology. Not only can explicit knowledge be trapped in the computer, but so can implicit knowledge, which is useful and potentially very profitable. The other advantage is that knowledge that exists in the form of rules can be captured in that form, without having to be converted by teams of analysts and programmers into data definitions and procedures.

Types of SystemsOne way that knowledge-based systems can be classified is by the kind of conclusions they produce. Some interpret the available evidence and produce diagnoses-for example, to explain the reason for a machine breakdown. Others interpret the available evidence but offer a prediction, such as the likelihood of a particular applicant for a loan becoming a slow-payer or a defaulter. Some systems address design questions, proposing the form or layout of a product or the configuration of components. Some are related to industrial engineering matters such as the procedure for assembling the components.

However, not all knowledge-based systems are so ambitious. Many merely use the captured rules to determine to which class a particular example belongs. For example, a system might determine whether a particular person is, or is not, entitled to a particular government benefit, an entry visa, or permanent residence.

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