Page 80 - Artificial Intelligence in the Age of Neural Networks and Brain Computing

68 CHAPTER 3 Third Gen AI as Human Experience Based Expert Systems

of the data is being done without definite knowledge that classifies all the subsets of
the data. For example, “young and beautiful” is a much sharper possibility than
either “the Young” or “the Beautiful.” When we average over spatial cases, we
obtain the average of the EBES in order to elucidate i-AI.

Brake FMFXSensor Awareness FMF XGPS space time FMF
¼ Experience sðstopÞ
Review of Fuzzy Membership Function, which is an open set and cannot be
normalized as the probability but a possibility:
UC Berkeley professor Lotfi Zadeh passed away at the age of 95 and Walter
Freeman at age 89. To them, 80 may be “young.” Likewise, the “beauty” is in the
eye of beholder. According to the Greek mythology, Helen of Troy sunk 1000 ships,
Egypt’s Cleopatra 100 ships, and Bible’s Eva one ship (Noah’s Ark) (Fig. 3.5).
Consequently, the car will drive through slowly when the red light happens at the
midnight in desert and without incoming cars. Such an RB becomes flexible as
EBES. To show that this replacing of RB with EBES is a natural improvement of
AI in the remaining paper. This explains a driverless car that will turn the rule stop-
ping at red light to be gliding over the red light when there is no incoming car at
midnight in desert.
Thus it provides an open set FMF. 2D Optical RDB using electronic addressed
spatial light modulator and light emitting diode can be fruitfully applied to rapid de-
cision making of DAV. (Szu, Harold H.; Caulfield, H. John, “Optical expert sys-
tems,” Applied Optics 26 (10) (1987) 1943e1947). Identical DAV M&S have

Brake Experience Based
Stop Expert System
FMF

GPS
Sensor Awareness
100 ft

Centered
FIGURE 3.5
“Young” membership is not well defined: Young (17 to 65).