Department of Computer Science, University of Zaragoza Zaragoza, Spain.
Front Psychol. 2012 Oct 9;3:384. doi: 10.3389/fpsyg.2012.00384. eCollection 2012.
Dual-process approaches of decision-making examine the interaction between affective/intuitive and deliberative processes underlying value judgment. From this perspective, decisions are supported by a combination of relatively explicit capabilities for abstract reasoning and relatively implicit evolved domain-general as well as learned domain-specific affective responses. One such approach, the somatic markers hypothesis (SMH), expresses these implicit processes as a system of evolved primary emotions supplemented by associations between affect and experience that accrue over lifetime, or somatic markers. In this view, somatic markers are useful only if their local capability to predict the value of an action is above a baseline equal to the predictive capability of the combined rational and primary emotional subsystems. We argue that decision-making has often been conceived of as a linear process: the effect of decision sequences is additive, local utility is cumulative, and there is no strong environmental feedback. This widespread assumption can have consequences for answering questions regarding the relative weight between the systems and their interaction within a cognitive architecture. We introduce a mathematical formalization of the SMH and study it in situations of dynamic, non-linear decision chains using a discrete-time stochastic model. We find, contrary to expectations, that decision-making events can interact non-additively with the environment in apparently paradoxical ways. We find that in non-lethal situations, primary emotions are represented globally over and above their local weight, showing a tendency for overcautiousness in situated decision chains. We also show that because they tend to counteract this trend, poorly attuned somatic markers that by themselves do not locally enhance decision-making, can still produce an overall positive effect. This result has developmental and evolutionary implications since, by promoting exploratory behavior, somatic markers would seem to be beneficial even at early stages when experiential attunement is poor. Although the model is formulated in terms of the SMH, the implications apply to dual systems theories in general since it makes minimal assumptions about the nature of the processes involved.
双过程决策方法考察了价值判断中情感/直觉和深思熟虑过程的相互作用。从这个角度来看,决策是由相对明确的抽象推理能力和相对隐含的进化领域通用以及学习领域特定的情感反应的组合来支持的。其中一种方法是躯体标记假说(SMH),它将这些隐含过程表示为一个进化的主要情绪系统,辅之以随着时间的推移积累的情感与经验之间的关联,或躯体标记。在这种观点中,只有当它们局部预测行动价值的能力高于等于理性和主要情绪子系统组合的预测能力的基线时,躯体标记才是有用的。我们认为,决策通常被视为一个线性过程:决策序列的影响是累加的,局部效用是累积的,并且没有强烈的环境反馈。这种普遍的假设会对回答有关系统之间的相对权重及其在认知架构内相互作用的问题产生影响。我们引入了 SMH 的数学形式化,并使用离散时间随机模型研究了在动态、非线性决策链中的情况。我们发现,与预期相反,决策事件可以以明显矛盾的方式与环境进行非累加交互。我们发现,在非致命情况下,主要情绪在其局部权重之上全局表示,在情境决策链中表现出谨慎过度的趋势。我们还表明,由于它们往往会抵消这种趋势,因此本身不会局部增强决策的调节不良的躯体标记,仍然可以产生整体积极的影响。由于促进探索性行为,躯体标记似乎是有益的,即使在经验调节不良的早期阶段也是如此,因此,这一结果具有发展和进化意义。尽管该模型是根据 SMH 制定的,但由于它对所涉及的过程的性质做出了最小的假设,因此该结果适用于双系统理论。