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success and track record of these applications has been much more fruitful and enduring In this chapter we introduce the topic of expert systems and describe one of its most common forms, rule-based expert systems In the next chapter, we continue the discussion when we investigate ways in which diagrams can be used to create expert systems that are more transparent to the end user An expert system is an AI program that emulates the decision-making ability of a human expert, a person who has expertise in a certain area, such as a doctor, lawyer, or nancial planner2 In contrast to the general problem solvers, these programs are intended to function only in restrictive domains, making the use of the specialized knowledge of domain experts There was never a pretense to use these systems in any other way than that for which they were preprogrammed to do.

, 1992) and a thin extrusive layer that thickens rapidly off axis within 1 2 km (Detrick et al, 1993b; Kent et al, 1994) In the model of Cann (1974) the crust at lower levels develops from the crystallization of the axial magma chamber The rst minerals to crystallize in the magma chamber, olivine and chrome spinel, fall through the magma and form a basal layer of dunite with occasional accumulations of chromite With further cooling pyroxene crystallizes and cumulate peridotitic layers (ie of olivine and pyroxene) are produced, giving way upwards to pyroxenites as the crystallization of pyroxene begins to dominate Ultimately, plagioclase also crystallizes and layered olivine gabbros form Much of the residual liquid, still volumetrically quite large, then solidi es over a very small temperature range to form an upper, isotropic gabbro.

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If you choose this method, don t import the JS le in the head element. You might be wondering why to bother creating the breadcrumbs() function at all. It appears to be more work. If your Web page uses a lot of JavaScript, it s a good idea to import all your JavaScript in the page header and call functions as needed, because it gives you a more modular design. This is truer when working with a lot of JavaScript code. If you aren t using much JavaScript, you should simply use whichever method is most comfortable to you.

In the knowledge domain that it knows about, the expert system would reason and make inferences (just as a human expert would) about some problem That is, given some input data, a conclusion (or recommendation) is inferred To this day, expert systems can be viewed as a veritable success story amid the many failures and overhyped applications in AI Before the 1980s, expert systems were largely con ned to the research laboratory, a time when its ideas were still being tested out, and the idea of a computer program performing expert functions was not widely accepted in the marketplace However, the rate of application to the larger commercial world was dramatic in the 1980s: During this time period, one estimate3 is that over two thirds of the Fortune 1000 companies applied expert systems technology to their daily business operations.

This was due, in large part, to the introduction of easy-to-use expert system shells, which made developing the complex systems less cumbersome and quicker to implement Moreover, companies took the time to learn how to embed the technology in current business processes Another survey4 looked at publications on operational expert systems from 1980 to 1993 and found that many expert systems have had a profound impact on organizations, in some cases shrinking the time for tasks from days to hours or from minutes or seconds In addition, this same survey found that there were many nonquanti able bene ts such as improved customer satisfaction, improved quality of products and service, and more consistent decision making.

A small volatile-rich residuum of this differentiation process, consisting essentially of plagioclase and quartz, is the last fraction to crystallize, sometimes intruding upwards to form veins and small.

Although the study of Expert Systems is no longer the high-pro le research area that it once was (notably in the 1970s and 1980s), there have been several noteworthy achievements and landmark systems that have contributed to our understanding of decision making and human expertise MYCIN, perhaps the most famous expert system of them all, was developed at Stanford University in the 1970s to diagnose bacterial infections5 In a typical consultation with MYCIN, an end user (typically a physician) would answer questions about patient data such as symptoms, test results, and patient characteristics Based on these responses, MYCIN would reach a diagnosis on what the infection might be While MYCIN was a system that never achieved commercial success, it introduced.

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