作者: Wojciech Białaszek , Przemysław Marcowski , David J. Cox
DOI: 10.1371/JOURNAL.PONE.0233337
关键词:
摘要: Many day-to-day decisions may involve risky outcomes that occur at some delay after a decision has been made. We refer to such scenarios as delayed lotteries. Despite human choice often involves lotteries, past research primarily focused on with or outcomes. Comparatively, less explored how and probability interact influence decisions. Within rigorous comparisons of models describe from the discounting framework have not conducted. performed two experiments determine gain loss are devalued when risky. Experiment 1 used ranges similar 2 individually calibrated ranges. Ten were fit data using genetic algorithm. Candidate derived probabilistic found participants' behavior was best described by three-parameter multiplicative model. Measures based information criteria pointed solution in which only psychophysically scaled. Absolute measures residuals amount, delay, simultaneously Our suggests separate scaling parameters for different factors be necessary