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争分夺秒:基于证据与基于时间的决策。

Racing against the clock: Evidence-based versus time-based decisions.

机构信息

University of Newcastle.

University of Tasmania.

出版信息

Psychol Rev. 2021 Mar;128(2):222-263. doi: 10.1037/rev0000259. Epub 2021 Feb 18.

Abstract

Classical dynamic theories of decision making assume that responses are triggered by accumulating a threshold amount of information. Recently, there has been a growing appreciation that the passage of time also plays a role in triggering responses. We propose that decision processes are composed of 2 diffusive accumulation mechanisms-1 evidence-based and 1 time-based-that compete in an independent race architecture. We show that this timed racing diffusion model (TRDM) provides a unified, comprehensive, and quantitatively accurate explanation of key decision phenomena-including the effects of implicit and explicit deadlines and the relative speed of correct and error responses under speed-accuracy trade-offs-without requiring additional mechanisms that have been criticized as being ad hoc in theoretical motivation and difficult to estimate, such as trial-to-trial variability parameters, collapsing thresholds, or urgency signals. In contrast, our addition is grounded in a widely validated account of time-estimation performance, enabling the same mechanism to simultaneously account for interval estimation and decision making with an explicit deadline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

经典的决策动态理论假设反应是由积累一定量的信息触发的。最近,人们越来越认识到,时间的流逝也在触发反应中起着作用。我们提出决策过程由 2 种扩散积累机制组成——1 种基于证据的,1 种基于时间的——在独立的竞赛架构中竞争。我们表明,这种定时赛跑扩散模型(TRDM)为关键决策现象提供了一个统一的、全面的、定量准确的解释——包括隐含和明确截止日期的影响,以及在速度-准确性权衡下正确和错误反应的相对速度——而不需要额外的机制,这些机制在理论动机上被批评为是特别的,难以估计,例如试验间变异性参数、崩溃阈值或紧急信号。相比之下,我们的补充是基于对时间估计性能的广泛验证,使同一个机制能够同时根据明确的截止日期来解释区间估计和决策。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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