Neurosciences Institute, New York University Grossman School of Medicine, New York, NY 10016, USA.
Trends Cogn Sci. 2022 Aug;26(8):669-687. doi: 10.1016/j.tics.2022.04.007. Epub 2022 May 25.
For the past half-century, cognitive and social scientists have struggled with the irrationalities of human choice behavior; people consistently make choices that are logically inconsistent. Is human choice behavior evolutionarily adaptive or is it an inefficient patchwork of competing mechanisms? In this review, I present an interdisciplinary synthesis arguing for a novel interpretation: choice is efficiently irrational. Connecting findings across disciplines suggests that observed choice behavior reflects a precise optimization of the trade-off between the costs of increasing the precision of the choice mechanism and the declining benefits that come as precision increases. Under these constraints, a rationally imprecise strategy emerges that works toward optimal efficiency rather than toward optimal rationality. This approach rationalizes many of the puzzling inconsistencies of human choice behavior, explaining why these inconsistencies arise as an optimizing solution in biological choosers.
在过去的半个世纪里,认知和社会科学家一直在努力研究人类选择行为的非理性;人们总是做出逻辑上不一致的选择。人类的选择行为是进化适应性的,还是竞争机制的低效拼凑?在这篇综述中,我提出了一个跨学科的综合观点,认为选择是有效率的非理性。连接各学科的研究结果表明,观察到的选择行为反映了在增加选择机制的精度的成本和精度增加带来的收益减少之间进行权衡的精确优化。在这些约束下,出现了一种理性不精确的策略,它朝着最佳效率而不是最佳理性努力。这种方法使许多令人困惑的人类选择行为的不一致性合理化,解释了为什么这些不一致性作为生物选择者的优化解决方案出现。