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样例学习条件下的因果力估计 被引量:2

CAUSAL JUDGMENTS IN THE TRIAL-BY-TRIAL PRESENTATION
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摘要 在逐个呈现因果样例的条件下 ,考察单一因果关系因果力估计的特点 ,同时检验联想解释 ,概率对比模型 ,权重ΔP模型 ,效力PC理论和pCI规则。实验让 6 5名大学生被试估计不同化学药物影响动物基因变异的能力。实验结果表明 :(1)对产生原因的因果力估计符合权重ΔP模型 ;(2 )对预防原因的因果力估计较多符合效力PC理论 ;(3)因果力估计具有复杂多样性 。 An experiment was conducted to investigate human causal judgments in the trial-by-trial presentation, and to test the associative theory, the power PC theory, the probabilistic contrast model, the weighted ΔP model, and the pCI rule. The participants were 65 college students. It was found that causal judgments had three characteristics: (a) Causal judgments were in accord with the weighted ΔP model in generative causes, (b) more causal judgments were in accord with the power PC theory in preventive causes, and (c) causal judgments were difficult to be described and generalized with a uniform pattern.
出处 《心理学报》 CSSCI CSCD 北大核心 2005年第1期51-61,共11页 Acta Psychologica Sinica
基金 国家自然科学基金项目 ( 3 0 2 70 466) 中国科技部项目 ( 2 0 0 2CB3 12 10 0 ) 中国科学院心理研究所创新重点项目 ( 0 3 0 2 0 3 7)
关键词 因果力估计 概率对比模型 效力PC理论 权重△P模型 pCI规则 逐个呈现样例 estimates of causal power, the power PC theory, the probabilistic contrast model, the weighted ΔP model, pCI rule, trial-by-trial presentation.
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