Evolution favours positively biased reasoning in sequential interactions with high future gains.

IF 3.5 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Journal of The Royal Society Interface Pub Date : 2025-08-01 Epub Date: 2025-08-27 DOI:10.1098/rsif.2025.0153
Marco Saponara, Elias Fernández Domingos, Jorge M Pacheco, Tom Lenaerts
{"title":"Evolution favours positively biased reasoning in sequential interactions with high future gains.","authors":"Marco Saponara, Elias Fernández Domingos, Jorge M Pacheco, Tom Lenaerts","doi":"10.1098/rsif.2025.0153","DOIUrl":null,"url":null,"abstract":"<p><p>Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we investigate here how reasoning abilities and cognitive biases coevolve using the evolutionary game theory. In our model, individuals in a population deploy a variety of unbiased and biased level-[Formula: see text] reasoning strategies to anticipate others' behaviour in sequential interactions, represented by the incremental centipede game. Positively biased reasoning strategies have a systematic inference bias towards higher but uncertain rewards, while negatively biased strategies reflect the opposite tendency. We find that selection consistently favours positively biased reasoning, with rational behaviour even going extinct. This bias coevolves with bounded rationality, as the reasoning depth remains limited in the population. Interestingly, positively biased agents may coexist with non-reasoning agents, thus pointing to a novel equilibrium. Longer games further promote positively biased reasoning, as they can lead to higher future rewards. The biased reasoning strategies proposed in this model may reflect cognitive phenomena like wishful thinking and defensive pessimism. This work therefore supports the claim that certain cognitive biases, despite deviating from rational judgement, constitute an adaptive feature to better cope with social dilemmas.</p>","PeriodicalId":17488,"journal":{"name":"Journal of The Royal Society Interface","volume":"22 229","pages":"20250153"},"PeriodicalIF":3.5000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12381588/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Royal Society Interface","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsif.2025.0153","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we investigate here how reasoning abilities and cognitive biases coevolve using the evolutionary game theory. In our model, individuals in a population deploy a variety of unbiased and biased level-[Formula: see text] reasoning strategies to anticipate others' behaviour in sequential interactions, represented by the incremental centipede game. Positively biased reasoning strategies have a systematic inference bias towards higher but uncertain rewards, while negatively biased strategies reflect the opposite tendency. We find that selection consistently favours positively biased reasoning, with rational behaviour even going extinct. This bias coevolves with bounded rationality, as the reasoning depth remains limited in the population. Interestingly, positively biased agents may coexist with non-reasoning agents, thus pointing to a novel equilibrium. Longer games further promote positively biased reasoning, as they can lead to higher future rewards. The biased reasoning strategies proposed in this model may reflect cognitive phenomena like wishful thinking and defensive pessimism. This work therefore supports the claim that certain cognitive biases, despite deviating from rational judgement, constitute an adaptive feature to better cope with social dilemmas.

进化倾向于在具有高未来收益的顺序交互中进行积极偏见推理。
经验证据表明,人类行为经常偏离博弈论的理性。例如,人类可能对未来的结果抱有不切实际的期望。由于这种偏见的进化根源尚不清楚,我们在这里研究推理能力和认知偏见如何使用进化博弈论共同进化。在我们的模型中,群体中的个体部署了各种无偏和有偏水平推理策略,以预测他人在顺序交互中的行为,以增量蜈蚣游戏为代表。积极偏见推理策略对更高但不确定的奖励有系统的推理倾向,而消极偏见推理策略则反映相反的倾向。我们发现,自然选择始终倾向于有积极偏见的推理,理性行为甚至已经灭绝。这种偏差与有限理性共同进化,因为推理深度在人群中仍然有限。有趣的是,有积极偏见的主体可能与无理性主体共存,从而指向一种新的均衡。更长时间的游戏会进一步促进积极的偏见推理,因为它们可以带来更高的未来奖励。该模型提出的偏见推理策略可能反映了一厢情愿和防御性悲观等认知现象。因此,这项研究支持了这样一种说法,即某些认知偏见,尽管偏离了理性判断,但构成了一种适应特征,可以更好地应对社会困境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信