知识背景对归纳推理的影响

Influence of knowledge context on inductive inference

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;Med in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。

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.