基于智能Agent的复合学习方法

从实例学习和事例推理的关系出发,分析了专家经验累积的过程,指出传统知识获取瓶颈的根源.在此基础上,借助agent理论,提出了一种从专家分析实例学习和事例推理的有机结合模型,给出了专家知识获取的基本框架.构成此框架的各归纳学习agent在专家的协助下,可通过加强学习机制相互促进.

A Hybrid Learning Method Based on Intelligent Agent

Based on the relation between learning from cases and case|based reasoning, the course when experts accumulate knowledge increasingly is analyzed in detail and the reasons for contributing to the bottleneck of knowledge acquisition are pointed out in this paper. Furthermore, a hybrid learning model combining learning from cases and case|based reasoning is put forward by virtue of intelligent agents, and the basic framework of the model is also given in which induction learning agents coordinate by a reinforcement learning mechanism with the help of experts.