因果推理
因果模型
论证(复杂分析)
心理学
因果参照理论
因果决策理论
因果推理
认知科学
认识论
光学(聚焦)
认知心理学
认知
计算机科学
人工智能
医学
决策支持系统
光学
物理
内科学
决策工程
哲学
病理
商业决策图
神经科学
作者
Henry M. Wellman,David Liu
出处
期刊:Oxford University Press eBooks
[Oxford University Press]
日期:2007-04-26
卷期号:: 261-279
被引量:52
标识
DOI:10.1093/acprof:oso/9780195176803.003.0017
摘要
Abstract Research, theory, and modeling of causal reasoning typically focus on the causal predictions and interventions that result from causal understandings. This neglects the role of explanations in causal reasoning and their role in causal learning. This chapter argues that explanations play a central role in human causal reasoning and that this is true from very early in life. It supports and elaborates this argument by showing that explanations are important to even young children, as apparent in their being frequently sought and provided by them; that explanations are sometimes strikingly easier to provide than comparable predictions, making them a powerful platform for learning; and that engaging in explanatory reasoning aids children's and adults' learning. Causal explanatory reasoning deserves a central role in our understanding of the nature and development of human causal understanding.
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