谎言-真相判断：适应性测谎器理论与真相-默认理论的比较与对照

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-05-31 DOI:10.1093/ct/qtae008

Timothy R Levine, Chris N H Street

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引用次数: 0

摘要

两种当代理论观点解释了人们何时以及如何做出谎言-真相判断。本文对适应性测谎器理论（ALIED）和真相默认理论（TDT）进行了描述、比较和对比。ALIED和TDT来自不同的学术传统，提出的过程和机制也大相径庭，但它们在许多行为预测上却趋于一致。这两种观点都假定了适应过程。ALIED 认为人类通过利用可用信息来适应环境，而 TDT 则认为高效交流的适应价值大于实时欺骗检测的价值。ALIED 提出了一种贝叶斯推理方法来进行谎言-真相判断，该方法根据信息的可感知诊断性来权衡信息，在得出谎言和真相判断的过程中不做任何区分。而 TDT 则提出，被动推定真相是默认的，需要有触发因素才能做出谎言判断。本文对未来的研究提出了建议。

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Lie–truth judgments: adaptive lie detector account and truth-default theory compared and contrasted

Two contemporary theoretical perspectives explain when and how people make lie–truth judgments. The adaptive lie detector account (ALIED) and truth-default theory (TDT) are described, compared, and contrasted. ALIED and TDT come from different scholarly traditions and propose very different processes and mechanisms, yet they converge on many behavioral predictions. Both views presume adaptive processes. ALIED presumes that humans are adaptive by using available information while TDT presumes that the adaptive value of efficient communication outweighs the value of real-time deception detection. ALIED proposes a Bayesian reasoning approach to lie–truth judgments that weighs information based on its perceived diagnosticity, making no distinction in the processes between reaching a lie and truth judgment. TDT alternatively proposes that the passive presumption of the truth is the default, and the presence of triggers is required to reach a lie judgment. Suggestions for future research are provided.

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.