摘要： 为提高实例推理(CBR)机制的实时性，提出一种智能机器人推理机制。给出CBR推理流程，采用时间限定算法和向量空间法对其进行改进，以加快检索和完成学习，使用模块化部件搭建智能平台。实验结果表明，与CBR相比，该机制在完成相同任务时所使用的时间更少，得到的结果更加合理。

关键词: 实例推理, 智能机器人, 实时, 时间限定算法, 空间向量算法

Abstract: In order to improve the real-time performance of Case-based Reasoning(CBR) reasoning mechanism, a new reasoning mechanism of intelligent robot is proposed in this paper. This paper gives the CBR reasoning process, uses the time-limited algorithm and space vector algorithm to improve it, so to speed up the search and complete the study, and uses modular parts to build intelligent platform. Experimental results show that this mechanism can use less time in perform the same task, and get more reasonable result than CBR.

Key words: Case-based Reasoning(CBR), intelligent robot, real-time, time-limited algorithm, space vector algorithm

中图分类号: 

• TP18