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首页> 外文期刊>Thinking & Reasoning >Getting one step closer to deduction: Introducing an alternative paradigm for transitive inference
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Getting one step closer to deduction: Introducing an alternative paradigm for transitive inference

机译:一步一步地推论:为传递推理引入替代范例

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摘要

Transitive inference is claimed to be "deductive". Yet every group/species ever reported apparently uses it. We asked 58 adults to solve five-term transitive tasks, requiring neither training nor premise learning. A computer-based procedure ensured all premises were continually visible. Response accuracy and R T (non-discriminative nRT) were measured as is typically done. We also measured RT confined to correct responses (cRT). Overall, very few typical transitive phenomena emerged. The symbolic distance effect never extended to premise recall and was not at all evident for nRT; suggesting the use of non-deductive end-anchor strategies. For overall performance, and particularly the critical BID inference, our findings indicate that deductive transitive inference is far more intellectually challenging than previously thought. Contrasts of our present findings against previous findings suggest at least two distinct transitive inference modes, with most research and most computational models to date targeting an associative mode rather than their desired deductive mode. This conclusion fits well with the growing number of theories embracing a "dual process" conception of reasoning. Finally, our differing findings for nRT versus cRT suggest that researchers should give closer consideration to matching the RT measure they use to the particular conception of transitive inference they pre-held.
机译:推论推断被认为是“演绎”的。但是,据报道,每个小组/物种显然都在使用它。我们要求58位成年人解决五项传递任务,既不需要培训也不需要前提学习。基于计算机的程序确保了所有场所都可以持续可见。响应准确度和R T(非区别nRT)通常都进行了测量。我们还测量了仅限于正确响应(cRT)的RT。总体而言,很少出现典型的传递现象。符号距离效应从未扩展到前提召回,并且对于nRT来说根本不明显。建议使用非演绎式端锚策略。对于整体性能,特别是对于关键的BID推理,我们的发现表明,演绎传递推理在智力上比以前认为的更具挑战性。我们目前的发现与以前的发现的对比表明,至少有两种截然不同的及物推理模式,迄今为止,大多数研究和大多数计算模型都以关联模式而非期望的演绎模式为目标。这一结论与越来越多的包含“双重过程”推理概念的理论非常吻合。最后,我们对nRT和cRT的不同发现表明,研究人员应更仔细地考虑将他们使用的RT度量与他们所持有的特定传递推论的概念相匹配。

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