Magnitude-sensitivity refers to the result that performance in decision-making, across domains and organisms, is affected by the total value of the possible alternatives. This simple result offers a window into fundamental issues in decision-making and has led to a reconsideration of ecological decision-making, prominent computational models of decision-making, and optimal decision-making. Moreover, magnitude-sensitivity has inspired the design of new robotic systems that exploit natural solutions and apply optimal decision-making policies. In this article, we review the key theoretical and empirical results about magnitude-sensitivity and highlight the importance that this phenomenon has for the understanding of decision-making. Furthermore, we discuss open questions and ideas for future research.

幅度敏感性是指跨领域和生物体的决策绩效受到可能替代方案的总价值影响的结果。这个简单的结果为了解决策中的基本问题提供了一个窗口，并导致重新考虑生态决策、决策的突出计算模型和最优决策。此外，幅度敏感性激发了新机器人系统的设计，该系统利用自然解决方案并应用最佳决策策略。在本文中，我们回顾了关于幅度敏感性的关键理论和实证结果，并强调了这种现象对于理解决策的重要性。此外，我们讨论了未来研究的开放性问题和想法。