Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Department of Psychology, University of Basel, 4055 Basel, Switzerland.
Trends Cogn Sci. 2019 Mar;23(3):251-263. doi: 10.1016/j.tics.2018.12.003. Epub 2019 Jan 7.
Researchers have benefited from characterizing evidence-based decision making as a process involving sequential sampling. More recently, sequential sampling models have been applied to value-based decisions - decisions that involve examining preferences for multi-attribute, multi-alternative choices. The application of sequential sampling models to value-based decisions has helped researchers to account for the context effects associated with preferential choice tasks. However, for these models to predict choice preferences, more complex decision mechanisms have had to be introduced. We review here the complex decision mechanisms necessary to account for context effects found with multi-attribute, multi-alternative choices. In addition, we review linkages between these more complex processes and their neural substrates to develop a comprehensive and biologically plausible account of human value-based decision making.
研究人员已经从将循证决策描述为一个涉及顺序采样的过程中受益。最近，顺序采样模型已被应用于基于价值的决策 - 涉及检查多属性、多选择的偏好的决策。顺序采样模型在基于价值的决策中的应用帮助研究人员解释了与偏好选择任务相关的上下文效应。然而，为了使这些模型能够预测选择偏好，必须引入更复杂的决策机制。在这里，我们回顾了为解释多属性、多选择情况下的上下文效应而必需的复杂决策机制。此外，我们还回顾了这些更复杂的过程与它们的神经基质之间的联系，以发展一个全面的、具有生物学合理性的人类基于价值的决策解释。
