lized 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 ...
