Behavior Imitation Based on Humanoid Reasoning Strategy

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Behavior Imitation Based on Humanoid Reasoning Strategy

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- Behavior Imitation Based on Humanoid Reasoning Strategy
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 83-88(2010)
- 作者机构：
  
  1. 1.虚拟现实技术与系统国家重点实验室,北京,100191
  2. 北京航空航天大学计算机学院,北京,100191
  3. 北京航空航天大学电子信息工程学院,北京,100191
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP181
- Published：2010
- 稿件说明：
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FONT face, Verdana, SHANG Tao, et al. Behavior Imitation Based on Humanoid Reasoning Strategy[J]. Acta Electronica Sinica, 2010, 38(2A): 83-88.
DOI：

FONT face, Verdana, SHANG Tao, et al. Behavior Imitation Based on Humanoid Reasoning Strategy[J]. Acta Electronica Sinica, 2010, 38(2A): 83-88. DOI：

摘要

本文从模仿机制的再现环节入手，采用知识使用和行动预见为主的拟人化推理策略，来实现有效的行为模仿.具体地，以模糊集合间的Hausdorff距离作为知识使用的尺度，导入知识半径到距离型模糊推理方法当中实现知识的选择使用；以预见控制的基本思想为指导，设计行动预见模型作为知识使用的高层决策，优化知识使用策略的参数.并以驾驶行为模仿为例，验证了拟人化推理策略对于动态知识使用的有效性，实现了即学即仿的模仿效果.

Abstract

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 indynamic knowledge use

and realized quick learning and imitating performance.

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