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













                         FIGURE 3.2
                         AI to Driverless Autonomous Vehicle (DAV); Applying AI to Sensors Suites is both all-
                         weather W band Radar and optical LIDAR, as well as the Video Motion Detection Optical
                         Flow Imaging Processing are adopted for collision avoidance situation awareness.


                         revolution might be copied BNN MFE to go beyond in a limited length and width
                         field with an infinite depth of tree-branch-logics. That’s why we choose DAV as
                         chauffeur-driven AV car (car becomes human office), as the second battle ground,
                         where the economic benefit is for car rental company Uber, without drivers is clear
                         cost saving, tested already on the street of Pittsburg. Moreover, US National High-
                         way Traffic Safety Administration (TSA) considers the fatality accidents may
                         reduce per year from 36,000 lives to half (1.25 M per year worldwide). We accept
                         human errors: “After all we are human; why not accept machine.” The issue is
                         auto-insurance policy must be refinedd“Who shall pay when DAV is responsible
                         for a traffic accident” (instead “the perfect being the enemy of the good” (Nidhi
                         Kalra of RAND Corp.and Dave Ferguson, Nuro, Inc., San Francisco).
                            To shorten the research and development to 6.5 years, we assert the missing
                         attribute in current DAV is mainly an open set possibility for crisp Boolean logic
                         (intersection, union) logic. The whole system is fuzzy logic possibility thinking
                         called FMF. Former professor Lotfi Zedeh defined FMF, and former professor Wal-
                         ter Freeman computed it with chaotic neural nets. Since it takes another rule to break
                         this rule, and another rule to break this exception rule, and so on and so forth, the
                         chain of rules becomes an open set of possible occurrences that cannot be normal-
                         ized to speak about Komogorov probability but Zedeh possibility. Applications in
                         optimization among open set of trajectories in car turning at different speed and
                         road conditions; (1) Human-like decision without back-chaining hesitation, at the
                         monotonic rapid increase of Ludwig Boltzmann mixing entropy monotonic increase
                         DS > 0 (due to incessant intermolecular collisions at nonzero temperature

                         (37 C z 1/37 eV). While Louis Pastuer said well: “Luck favors a prepared mind”
                         (possibility thinking); “The best time to plant a tree is 20 years ago, the second
                         best time is now” (guiding thinking, M. Wardlaw).
                            Thus, AI applied camera to image a driver face (nose, eye), for the soundness,
                         emotion, and body pose estimation. It helps generating situation awareness FMF.
                         Their local minima solutions are collectively stored in the Cloud as the bases for sta-
                         tistical ensemble average. In other words, we don’t take a single biased result of KR
                         without deep learning.
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