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意向决策和反应决策的双加工过程。

Dual process for intentional and reactive decisions.

机构信息

Université Paris Descartes, Sorbonne Paris Cité, Paris, France.

出版信息

PLoS Comput Biol. 2013 Apr;9(4):e1003013. doi: 10.1371/journal.pcbi.1003013. Epub 2013 Apr 4.

Abstract

Efficient cognitive decisions should be adjustable to incoming novel information. However, most current models of decision making have so far neglected any potential interaction between intentional and stimulus-driven decisions. We report here behavioral results and a new model on the interaction between a perceptual decision and non-predictable novel information. We asked participants to anticipate their response to an external stimulus and presented this stimulus with variable delay. Participants were clearly able to adjust their initial decision to the new stimulus if this latter appeared sufficiently early. To account for these results, we present a two-stage model in which two systems, an intentional and a stimulus-driven, interact only in the second stage. In the first stage of the model, the intentional and stimulus-driven processes race independently to reach a transition threshold between the two stages. The model can also account for results of a second experiment where a response bias is introduced. Our model is consistent with some physiological results that indicate that both parallel and interactive processing take place between intentional and stimulus-driven information. It emphasizes that in natural conditions, both types of processing are important and it helps pinpoint the transition between parallel and interactive processing.

摘要

有效的认知决策应该能够适应新的输入信息。然而,到目前为止,大多数现有的决策模型都忽略了意向性决策和由刺激驱动的决策之间的潜在相互作用。我们在此报告了一项关于感知决策和不可预测的新信息之间相互作用的行为研究结果和一个新模型。我们要求参与者预测他们对外部刺激的反应,并以可变的延迟呈现该刺激。如果新的刺激出现得足够早,参与者显然能够根据新的刺激调整他们最初的决策。为了解释这些结果,我们提出了一个两阶段模型,其中两个系统,即意向性和由刺激驱动的系统,仅在第二阶段相互作用。在模型的第一阶段,意向性和由刺激驱动的过程独立地竞争,以达到两个阶段之间的转换阈值。该模型还可以解释第二个实验的结果,其中引入了响应偏差。我们的模型与一些生理结果一致,这些结果表明,在意图和由刺激驱动的信息之间同时存在并行和交互处理。它强调了在自然条件下,这两种类型的处理都很重要,并有助于确定并行和交互处理之间的转换。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a199/3617197/b609ee27a865/pcbi.1003013.g001.jpg

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