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奖励自偏差导致我们比他人更能进行更优的觅食行为。

A reward self-bias leads to more optimal foraging for ourselves than others.

机构信息

Department of Experimental Psychology, University of Oxford, Oxford, Oxford, OX1 3PH, UK.

Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, OX3 9DU, UK.

出版信息

Sci Rep. 2024 Nov 5;14(1):26845. doi: 10.1038/s41598-024-69452-x.

Abstract

People are self-biased for rewards. We place a higher value on rewards if we receive them than if other people do. However, existing work has ignored one of the most powerful theorems from behavioural ecology of how animals seek resources in everyday life, the Marginal Value Theorem (MVT), which accounts for optimal behaviour for maximising resources intake rate. Does this self-bias help humans maximise rewards when foraging for their own benefit compared to foraging for the benefit of others? Participants had to decide when to leave patches where reward intake was gradually depleting, in environments with different average reward rates. Half of the time participants foraged for themselves, and in the other half they collected rewards for an anonymous stranger. The optimal MVT derived solution states people should leave when the instantaneous reward intake in a patch equals the average rate in an environment. Across two studies, people were more optimal when foraging for self, showing a reduced sensitivity to instantaneous rewards when foraging for other. Autistic traits were linked to reduced sensitivity to reward rates when foraging for self but not for other. These results highlight that the self-bias may be adaptive, helping people maximise reward intake.

摘要

人们对奖励存在自我偏向。如果我们自己获得奖励,会比其他人获得时赋予其更高的价值。然而,现有研究忽略了动物在日常生活中寻找资源的行为生态学中最有力的定理之一——边际价值定理(MVT),该定理解释了动物为了最大化资源摄入量而进行的最佳行为。在为自己觅食和为他人觅食时,这种自我偏向是否有助于人类最大化奖励?参与者必须决定何时离开奖励逐渐减少的斑块,环境中的平均奖励率不同。一半时间参与者为自己觅食,另一半时间他们为匿名陌生人收集奖励。最优 MVT 推导的解决方案表明,当一个斑块中的即时奖励摄入量等于环境中的平均水平时,人们应该离开。在两项研究中,人们在为自己觅食时更具最优性,表现出对其他时候即时奖励的敏感性降低。自闭症特征与为自己觅食时对奖励率的敏感性降低有关,但为他人觅食时则没有。这些结果表明,自我偏向可能是适应性的,帮助人们最大化奖励摄入量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbfc/11538449/b5b094dccd96/41598_2024_69452_Fig1_HTML.jpg

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