假设生成中的一致性检验

Stanley D. Fisher, Charles F. Gettys, Carol Manning, Tom Mehle, Suzanne Baca
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引用次数: 40

摘要

进行了三个实验来研究假设生成模型的一个方面。这个模型假设一个候选假设可能被检索或激活在内存中,以响应仅部分可用数据。然后,这个候选假设可以与剩余的数据进行一致性检查。后一个过程称为“一致性检查”。实验1提供了在假设生成过程中进行一致性检查的证据。受试者能够识别在假设生成问题中检索到的假设,但不会作为假设响应发出,这表明一致性检查是拒绝假设的原因。实验2表明,在假设检索中,处理额外数据所需的时间少于处理额外数据所需的估计时间。结果表明,一致性检查是一个高速的验证过程,而不是一个较慢的搜索过程。实验3是为了证明一致性检查是一个自我终止的过程。受试者的潜伏期取决于数据集中不确定的数据的位置,这支持了这一猜想。研究结果总体上证实了假设生成中存在一个高速验证过程,同时也表明响应多数据的假设生成是双重过程的结果。
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Consistency checking in hypothesis generation

Three experiments were performed to study an aspect of a hypothesis-generation model. This model assumes a candidate hypothesis may be retrieved or activated in memory in response to only part of the available data. This candidate hypothesis may then be checked for consistency against the remaining data. The latter process is called “consistency checking.” Experiment 1 was performed to provide evidence that consistency checking occurs during hypothesis generation. Subjects were able to recognize hypotheses which were retrieved during a hypotheses-generation problem but not emitted as hypothesis responses, suggesting that consistency checking was responsible for the rejected hypotheses. Experiment 2 indicated that the amount of time needed to process an additional datum is a consistency-checking task was less than an estimate of the time needed to process an additional datum in hypothesis retrieval. The results suggest that consistency checking is a high-speed verification process rather than a slower search process. Experiment 3 was performed to provide evidence that consistency checking is a self-terminating process. Subjects' latencies depended upon the position of a disconfirming datum within a data set, supporting this conjecture. The results generally confirmed the existence of a high-speed verification process in hypothesis generation and also suggest that the generation of hypotheses in response to multiple data occurs as a result of dual processes.

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