The Fourth Intelligence Layer-Intelligent Decisions Making

Abstract

AbstractThis chapter aims to explain the fourth intelligence layer of the machine brain—intelligent decisions making, employing intelligent decisions in tracking and detection of specified targets as an example. Face recognition and natural language processing are respectively reviewed to introduce the system-level and thinking-level intelligence for intelligent decisions making, which majorly depend on deep learning. In the process of deep learning, the computer can also recognize the objects that need to be detected in the image, such as pedestrians and cars, and mark them with boxes or ellipses. For videos, moving pedestrians and cars need to be tracked in real time, so the learning time faces more challenges than that for pictures, when the requirements for intelligent decisions making and even for the equipment itself are also more stringent. Any sudden changes in brightness, noise level, equipment vibration and electromagnetic interference, etc., will affect the final decisions, in this chapter which means that the computer can predict and track the special points of the specified target, such as the highest point, the lowest point, and the center point, as the basis for successful target detection. Automatic execution to be introduced in Chap. 6 can also be understood as another level of intelligent decision—the behavior-level intelligence for intelligent decisions making.