An Imitation Method of Human Action Intelligence

It is well known that humans have high-level action intelligence. If such action intelligence could be represented in certain form, it can be applied to various fields such as the development of intelligent robot. Therefore we shall focus on imitation approach for the acquirement of human action intelligence. In this paper, from the perspective of emphasizing knowledge usage, we propose a novel imitation method of human action intelligence by using the distance-type fuzzy reasoning (DTFR) method with knowledge radius. Concretely, the employment of human action intelligence is achieved by DTFR method with knowledge radius; a learning algorithm for DTFR method, which is strongly combined with the DTFR method, is used for obtaining fuzzy rules representing human knowledge. Finally, based on a developed driving simulator, the effectiveness of proposed method is illuminated by experiment