Advantages Of Expert System

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In the modern world, expert systems have emerged as the most important product of artificial intelligence research. The Oxford dictionary defines an expert system as follows: “A piece of software programmed using artificial intelligence techniques. Such systems use databases of expert knowledge to offer advice or make decisions in areas such as medical diagnosis and trading on the stock exchange”. (Oxford American dictionary)An expert system is a knowledge-based system that uses knowledge pertaining to its application domain and utilises an inference procedure to solve problems. The power of expert systems stems primarily from the specific knowledge about a narrow domain stored in the expert system 's knowledge base. http://www.umsl.edu/~joshik/msis480/chapt11.htm. …show more content…

"Knowledge-Based Systems Concepts, Techniques, Examples". http://www.reidgsmith.com. Schlumberger-Doll Research. Retrieved 9 November 2013). The ultimate goal of expert systems is to emulate the decision making skills of a human. The advantage is that an expert system has the potential to store vast amounts of information and therefor make better, more informed decisions in less time and with greater accuracy than humans. Efficiency is clearly an integral part of expert systems. The need for not only coming to the correct conclusion but also doing so in the smallest amount of time is of utmost importance. This becomes especially true when one considers that in the world of medicine and finance, two crucial applications of expert systems, time is very often of critical importance. The implementation of an effective and efficient expert system will be discussed contrasted with an inefficient system. A breakdown and analysis of the correct implementation of each process involved in designing an expert system will be …show more content…

The knowledge source then implies its knowledge in order to create a new hypothesis or alternatively it makes changes to an existing one. A choice is then made by the scheduler in order to decide which knowledge source can add to the solution in the blackboard next. (Klein and Methlie) Hearsay 3, ExperTax and FINSIM are all examples of blackboard systems. A blackboard can be described as a type of database which is set aside by an area of working memory or the description of the current problem, the input data and the intermediate results.(Turban et al

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