A New Vision About AI and Situation Awareness Model of Auto-driving with Implicit Memory

Hang SONG, Bo-han JIANG, Da-xue LIU

Abstract


As AI developed with the relationships with other science, such as Psychology, needs of human-machine cooperation appear and situation awareness is modeled to evaluate driver and other kinds of operators in complex working condition. As to car-driving, an action- taking model based on situation awareness is presented, which shows two main action-taking ways. One is Reaction Chain; the other is Implicit/Action Ring. This paper is enlightenment by implicit memory, situation awareness model of Ensley’s and the way a very young child watching, touching and knowing the objects of the world. Although human take actions sometimes unconsciously, they are orientated by implicit memory. Similarly, some skills and knowledge are acquired by implicit learning and this kind of learning show an enormous migration and analogy ability. Finally, Reaction Chain which includes Perception-Comprehension-Projection-Decision-Action in driving is discussed with RL.

Keywords


AI (Artificial Intelligence), Situation Awareness (SA), Deep learning (DL), Reinforcement Learning (RL), Deep Reinforcement Learning(DRL), Cognition Psychology


DOI
10.12783/dtcse/cnai2018/24168

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