Mr. Hankins WordL1_C1_A1 Fuzzy Logic The fuzzy logic branch of artificial intelligence attempts to model human reasoning by allowing for approximations and incomplete input data. Instead of demanding precise yes/no or numerical information, fuzzy logic systems allow users to input “fuzzy” data. The terminology used by the system is deliberately vague and includes terms such as very probable, somewhat decreased, reasonable, or very slight. This is an attempt to simulate real-world conditions, where precise answers are rare. A fuzzy logic system attempts to work more naturally with the user by piecing together an answer in a manner similar to that used by a traditional expert system. Fuzzy logic SQL database queries seem significantly more human than traditional queries. Fuzzy logic systems are much more common in Japan than they are in the United States, where traditional expert systems and neural networks tend to be favored. In Japan, microprocessors specially designed by Toshiba and Hitachi to use fuzzy logic operate subways, consumer electronics, automobile transmissions, and trade shares on the Tokyo Stock Exchange. Created by Sallie Hankins Monday, September 27, 2010 Note: Please insert this information between the 4th and 5th sections.