AI 中文总结
该研究提出关联网络模型，在随机注意力框架下刻画关联对选择的塑造作用，可统一解释选择异常，并阐明关联在品牌建设等场景中的战略应用。
AI 中文摘要
我们提出一种关联网络模型，该模型刻画决策者如何通过备择方案间的心理关联扩展其考虑集。该模型提供了一种可处理的方法，用于研究当部分备择方案可用、其余仅可观察但不可用时，关联如何塑造选择。我们在随机注意力框架内刻画该模型，并证明所有参数可被唯一识别。该框架能统一解释若干显著的选择异常，包括经典菜单效应及其“幻影”对应效应。我们阐明关联如何在品牌建设、模仿及平台设计等应用中作为战略变量发挥作用。
英文摘要
We present a model of associative networks that captures how decision makers expand their consideration set through mental associations between alternatives. Our model provides a tractable approach to study how associations shape choice when some alternatives are available and others are merely observable but unavailable. We characterize the model within a random attention framework and demonstrate unique identification of all parameters. This framework delivers a unified account of several prominent choice anomalies, including classic menu effects and their ``phantom'' counterparts. We illustrate how associative links serve as a strategic variable in applications such as branding, imitation, and platform design.
