Behavior imitation based on humanoid reasoning strategy

This paper focuses on the recurrence component of imitation mechanism and presents humanoid reasoning strategies such as knowledge use and action preview to implement effective behavior imitation. Concretely, by defining the Hausdorff distance between fuzzy sets as the metric of knowledge use, we combined knowledge radius into the distance-type fuzzy reasoning method for the implementation of selective knowledge use; according to the main idea of preview control, we designed the action preview model as high level decision of knowledge use to optimize the parameters of knowledge use strategy. Finally we presented the results of driving behavior imitation, demonstrated the validity of humanoid reasoning strategies in dynamic knowledge use, and realized quick learning-and-imitating performance.