作者: Johan Lauwereyns , Danilo Vasconcellos Vargas
DOI: 10.1007/S11571-021-09681-2
关键词: Decision problem 、 Space (commercial competition) 、 Value (ethics) 、 Sequence 、 Deliberation 、 Agency (philosophy) 、 Set (psychology) 、 Data science 、 Information economics 、 Computer science
摘要: Decision-making models in the behavioral, cognitive, and neural sciences typically consist of forced-choice paradigms with two alternatives. While theoretically it is feasible to translate any decision situation a sequence binary choices, real-life decision-making more complex nonlinear, involving choices among multiple items, graded judgments, deferments decision-making. Here, we discuss how complexity can be addressed using conventional by focusing on interactive dynamics between criteria settings collection evidence. Decision-makers engage multi-stage, parallel exploiting space for deliberation, non-binary readings evidence available at point time. The principally adhere speed-accuracy tradeoff, such that increasing deliberation enables extended data collection. setting reflects form meta-decision-making can, should be, studied empirically as value-based exercise weighs prior propensities, economics information seeking, potential outcomes. Importantly, control raises question agency. may actively explicitly set their own parameters, but these parameters also environmental pressures. Thus, decision-makers influenced—or nudged particular direction—by problems are framed, sense urgency or definition choice options. We argue proper understanding mechanisms has important practical implications toward optimal usage deliberation.