摘要
不能建立同态、同构映射的两个系统间，通常在某个局部有相似的性质，提出一个非完全类比推理学习模型。
There are usually some local similar properties between two systems,a homomor-phism or a isomorphism can not be established between which.This paper suggests a modelof non-complete analogical reasoning and learning.Using this model a kind of propertiesmentioned above can be acquired from“source”system.
出处
《广西师范大学学报（自然科学版）》
CAS
1994年第3期8-13,共6页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家863计划基金
关键词
人工智能
类比
类比推理
类比学习
artificial intelligence
analogy
analogical reasoning
analogical learning
