While decision theories have evolved over the past five decades, their focus has largely been on choices among a limited number of discrete options, even though many real-world situations have a continuous-option space. Recently, theories have attempted to address decisions with continuous-option spaces, and several computational models have been proposed within the sequential sampling framework to explain how we make a decision in continuous-option space. This article aims to review the main attempts to understand decisions on continuous-option spaces, give an overview of applications of these types of decisions, and present puzzles to be addressed by future developments.

中文翻译：

---

超越离散选择选项


尽管决策理论在过去五年中不断发展，但它们的重点主要集中在有限数量的离散选项中的选择，尽管许多现实世界的情况都有连续的选项空间。最近，理论试图解决连续选项空间的决策，并且在顺序采样框架内提出了几种计算模型来解释我们如何在连续选项空间中做出决策。本文旨在回顾理解连续选项空间决策的主要尝试，概述此类决策的应用，并提出未来发展需要解决的难题。