知识背景对归纳推理的影响

归纳推理研究领域出现了一些引人注目的实验研究：Heit和Rubinstein等的研究表明了知识背景对归纳推理存在不可忽视的影响；Medin等以“相关”，Loman等以“一致性”作为变量的研究，比较系统地探讨了知识背景对归纳推理的影响；对于这些实验研究结果，假设评价模型、贝叶斯模型、PPP模型以及相关理论都分别能够做出部分的解释；在对上述理论模型进行评价的基础上，提出了利用贝叶斯网络解释知识背景对归纳推理的影响的观点。

Influence of knowledge context on inductive inference

In recent years,there are some attractive experiments in the study of inductive inference: & Rubinstein,Lopez etc,Proffitt etc have suggested that the influence of knowledge context should not be ignored;by using the variables of relevance in the study of Medin and using the variables of coherence in the study of Sloman and Rehder relatively,such influenceis systematically discussed.Hypothesis-assessment model,Bayesian model,PPP model,relevance theory could explain such influence partly.On the ground of evaluation, this article puts forward Bayesian network to interpret the influence of knowledge context on inductive inference.