Cognitive Science And AI

11 Pages 2658 Words

s used. Since there are very few applications that are pre-written using AI, each company has to write its own software for the solution to the problem. An easier way around this obstacle is to design an add-on. The company FuziWare makes several applications that act as an addition to a larger application. FuziCalc, FuziQuote, FuziCell, FuziChoice, and FuziCost are all products that are used as management decision support systems for other off-the shelf applications (Barron 111).
In order to tell that AI is present we must be able to measure the intelligence being used. For a relative scale of reference, large supercomputers can only create a brain the size of a fly (Butler and Caudill 5). It is surprising what a computer can do with that intelligence once it has been put to work. Almost any scientific, business, or financial profession can benefit greatly from AI. The ability of the computer to analyze variables provides a great advantage to these fields. There are many ways that AI can be used to solve a problem. Virtually all of these methods require special hardware and software to use them. Unfortunately, that makes AI systems expensive. Consulting firms, companies that design computing solutions for their clients, have offset that cost with the quality of the system. Many new AI systems now give a special edge that is needed to beat the competition.
Created by Lotfi Zadeh almost thirty years ago, fuzzy logic is a mathematical system that deals with imprecise descriptions, such as "new", "nice", or "large" (Schmuller 14). This concept was also inspired from biological roots. The inherent vagueness in everyday life motivates fuzzy logic systems (Schmuller 8). In contrast to the usual yes and no answers, this type of system can distinguish the shades in-between. In Los Angeles a fuzzy logic system is used to analyze input from several cameras located at different intersections (Barron 114). This system provides a "smart light" t...