A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure
为基于价值的漂移扩散模型提供了公理基础，将选择的外部可观测属性与内部神经生理机制联系起来，并扩展至多选项时间压力下的选择，证明二元比较与马尔可夫探索近似导致软最大化。
In this paper, we provide an axiomatic foundation for the value-based version of the drift diffusion model (DDM) of Ratcliff, a successful model that describes two-alternative speeded decisions between consumer goods. Our axioms present a test for model misspecification and connect the externally observable properties of choice with an important neurophysiologic account of how choice is internally implemented. We then extend our axiomatic analysis to multialternative choice under time pressure. In a nutshell, we show that binary DDM comparisons of the alternatives, paired with Markovian exploration of the consideration set, approximately lead to softmaximization. This paper was accepted by Manel Baucells, decision analysis.