样例学习条件下的因果力估计
CAUSAL JUDGMENTS IN THE TRIAL-BY-TRIAL PRESENTATION
查看参考文献16篇
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文摘
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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65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,难以用统一的模式加以描述和概括. |
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其他语种文摘
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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 AP 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 AP 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 de-scribed and generalized with a uniform pattern. |
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来源
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心理学报
,2005,37(1):51-61 【核心库】
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关键词
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因果力估计
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概率对比模型
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效力PC理论
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权重ΔP模型
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pCI规则
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逐个呈现样例
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地址
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中国科学院心理研究所, 北京, 100101
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语种
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中文 |
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ISSN
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0439-755X |
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学科
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社会科学总论 |
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基金
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中国科学院心理研究所知识创新工程重点项目
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国家自然科学基金项目
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国家科技部项目
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文献收藏号
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CSCD:1864678
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参考文献 共
16
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