期刊文献+

科学解释的贝叶斯网络模型探析 被引量:1

The Analysis of Bayesian Network Model of Scientific Explanation
原文传递
导出
摘要 解释项和被解释项之间的逻辑相关、统计相关以及因果相关等语义学模型都不能揭示科学解释的内在机制。解释必须涉及语境,必须关注解释主体。范·弗拉森和阿欣斯坦等人把解释拓展为理论、事实和语境的三元关系,但因为不是基于解释者的模型,也不能摆脱解释困境。基于贝叶斯网络的解释模型介于解释模型的语义学进路和语用学进路之间,它立足于把解释的因果关系和解释者的信念相结合,把定性解释和定量解释考虑在内从而避免科学解释陷入困境。 Explanation can't reveal the internal structure, If we look on explanation as logical, statistical and causal relevance. We must pay attention to the context, especially the explainer. Although Bas.C.Van Fraassen and P.Achinstein thought the context into explanation, which can't get rid of the plight of scientific explanation. Bayesian network model is based on the model of explanation between semantic and pragmatic approach, which is based on the explanation of the subjective beliefs, the causal explanation and random process are combined together, qualitative explanation and quantitative explanation are taken into account in order to avoid the dilemma of scientific explanation.
作者 闫坤如
出处 《自然辩证法研究》 CSSCI 北大核心 2016年第1期98-103,共6页 Studies in Dialectics of Nature
关键词 科学解释 概率 因果 贝叶斯网络模型 scientific explanation probability cause and effect Bayesian Network Model
  • 相关文献

参考文献11

  • 1[美]约翰·洛西.科学哲学历史导论[M].邱仁宗,等译.武汉华中工学院出版社,1982.
  • 2S.摩根贝塞,鲁旭东.科学解释[J].世界哲学,1987(6):48-52. 被引量:7
  • 3Pearl J F.propagation and structuring in belief networks[J]Artificial Intelligence,1986,29(3).
  • 4Ruben D.Explaning Explanation[M].New York:Routledge1990.
  • 5[美]亨波.归纳的不一贯性[C]∥洪谦,主编.逻辑经验主义.北京:商务印书馆.1982.
  • 6[美]卡尔那普.归纳逻辑与演绎逻辑[C]∥洪谦,主编.逻辑经验主义.北京:商务印书馆.1982.
  • 7W.C.Salmon el.Statistical Explanation and Statistica Relevance[M].Pittsburg:Unviersity of Pittsburgh Press,1971.
  • 8W.C.Salmon.Scientific Explanation and the Causal Structur of the world[M].Princeton:Princeton University Press,1984.
  • 9M.Scriven.Explanation and Prediction in Evolutionary Theor[J].Science,New Series,1959(130).
  • 10普利高津.确定性的终结[M].上海:上海科技教育出版社,1998.5.

共引文献21

同被引文献3

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部