Ai And Expert Systems Essay Research Paper — страница 4

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develop software that will predict the prices of many stocks and bonds. Murry Ruggiero also designs software, but his forecasts the future of the Standard & Poors index. Ruggiero’s program, called BrainCel, is capable of giving an annual return ! of 292%. Another major application of neural networks is detecting credit card fraud. Mellon Bank, First Bank, and Colonial National Bank all use neural networks that can determine the difference between fraud and regular transactions (Bylinsky 98). Mellon Bank states the new neural network allows them to eliminate 90% of the false alarms that occur under traditional detection systems (Bylinsky 99). Secondly, fuzzy logic has many applications that hit close to home. Home appliances win most of the ground with AI enhanced washing

machines, vacuum cleaners, and air-conditioners. Hitachi and Matsushita manufacture washing machines that automatically adjust for load size and how dirty the articles are (Shine 57). This machine washes until clean, not just for ten minutes. Matsushita also manufactures vacuum cleaners that adjust the suction power according to the volume of dust and the nature of the floor. Lastly, Mitsubishi uses fuzzy logic to slow air-conditioners gradually to the desired temperature. The power consumption is reduced by 20% using this system (Schmuller 27). The chaos theory is limited in scope at this time mainly because of lack of interest and resources to experiment with. However, Wall Street will be hearing more about it for a long time to come. Also, the medical field has an interest

because of its ability to distinguish between natural and non-natural patterns. The chaos theory has a foot in the door, but a breakthrough in design will have to come around first before any major moves toward the chaos theory will happen. Expert systems are prevalent all over the world. This proven technology has made its way into almost everywhere that human experts live. Expert systems even can show an employee how to be an expert in a particular occupation. A Massachusetts company specializes in teaching good judgment to new employees or trainees. Called Wisdom Simulators, this company sells software that simulates nasty job situations in the business world. The ability to learn before the need arises attracts many customers to this type of software (Nadis 8). Expert systems

have also been applied in medical facilities, diagnosis of mechanical devices, planning scientific experiments, military operations, and teaching students specialized tasks. Knowledge-based systems and case-based reasoning will be on the rise for a long time to come. These systems are souped-up expert systems that provide more powerful searching and decision-making strategies. KBS is finding its home at help desks by working with telephone operators to direct calls. CBR will have close ties to law with its ability to use past precedents to determine a sentence and prison term. KBS is already being used by the Tennessee Department of Corrections for determining which inmates are eligible for parole (Peterson 37). Making recommendations on which AI systems work the best almost

requires AI itself. However, I believe that some are definitely better than others. Neural networks, unfortunately, have performance spectrums that continue to dwell at both extremes. While there are some very good networks that perform their designed task beautifully, there are others that perform miserably. Furthermore, these networks require massive amounts of computing resources that restrict their use to those who can afford it. On the other hand, fuzzy logic is practically a win-win situation. Although some are rather simple, these systems perform their duties quickly and accurately without expensive equipment. They can easily replace many mundane tasks that others computer systems would have trouble with. Fuzzy logic has enabled computers to calculate such terms as

“large” or “several” that would not be possible without it (Schmuller 14). On the other hand, the chaos theory has potential for handling an infinite amount of variables. This gives it the ability to be a huge success in the financial world. It’s high learning curve and its primitive nature, however, limits it to testing purposes only for the time being. It will be a rocky road for chaos theory and chaos engineering for several years. Finally, expert systems, knowledge-based systems, and cased-based reasoning systems are here to stay for a long time. They provide an efficient, easy to use program that yields results that no one can argue with. Designed correctly, they are can be easily updated and modernized. While the massive surge into the information age has ushered