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
纸质出版:2010
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FONT face, Verdana, 尚 涛, 等. 基于拟人化推理策略的行为模仿[J]. 电子学报, 2010,38(2A):83-88.
FONT face, Verdana, SHANG Tao, et al. Behavior Imitation Based on Humanoid Reasoning Strategy[J]. Acta Electronica Sinica, 2010, 38(2A): 83-88.
<FONT face=Verdana>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<FONT face=Verdana>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<FONT face=Verdana>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<FONT face=Verdana>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,<FONT face=Verdana>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.
<FONT face=Verdana>This paper focuses on the recurrence component of imitation mechanism and presen<FONT face=Verdana>ts humanoid reasoning strategies such as knowledge use and action preview to imp<FONT face=Verdana>lement effective behavior imitation.Concretely
by defining the Hausdorff distan<FONT face=Verdana>ce between fuzzy sets as the metric of knowledge use
we combined knowledge radiu<FONT face=Verdana>s into the distancetype fuzzy reasoning method for the implementation of selec<FONT face=Verdana>tive knowledge use;according to the main idea of preview control
we designed the<FONT face=Verdana> action preview model as high level decision of knowledge use to optimize the pa<FONT face=Verdana>rameters of knowledge use strategy.Finally we presented the results of driving b<FONT face=Verdana>ehavior imitation
demonstrated the validity of humanoid reasoning strategies in<FONT face=Verdana>dynamic knowledge use
and realized quick learning and imitating performance.
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