Stochastic Choice: An Optimizing Neuroeconomic Model
提出随机选择源于认知处理噪声而非偏好随机变化的模型，该模型在信息处理能力约束下仍是最优的，比漂移扩散模型和理性疏忽模型更好地拟合了选择频率和反应时间数据。
A model is proposed in which stochastic choice results from noise in cognitive processing rather than random variation in preferences. The mental process used to make a choice is nonetheless optimal, subject to a constraint on available information-processing capacity that is motivated by neurophysiological evidence. The optimal information-constrained model is found to offer a better fit to experimental data on choice frequencies and reaction times than either a purely mechanical process model of choice (the drift-diffusion model) or an optimizing model with fewer constraints on feasible choice processes (the rational inattention model).