Cultural diversity and wisdom of crowds are mutually beneficial and evolutionarily stable

Author:

de Courson Benoît,Fitouchi Léo,Bouchaud Jean-Philippe,Benzaquen Michael

Abstract

AbstractThe ability to learn from others (social learning) is often deemed a cause of human species success. But if social learning is indeed more efficient (whether less costly or more accurate) than individual learning, it raises the question of why would anyone engage in individual information seeking, which is a necessary condition for social learning’s efficacy. We propose an evolutionary model solving this paradox, provided agents (i) aim not only at information quality but also vie for audience and prestige, and (ii) do not only value accuracy but also reward originality—allowing them to alleviate herding effects. We find that under some conditions (large enough success rate of informed agents and intermediate taste for popularity), both social learning’s higher accuracy and the taste for original opinions are evolutionarily-stable, within a mutually beneficial division of labour-like equilibrium. When such conditions are not met, the system most often converges towards mutually detrimental equilibria.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference65 articles.

1. de Condorcet, M. Essay on the application of analysis to the probability of majority decisions (Imprimerie Royale, 1785).

2. Galton, F. Vox populi. Nature 75, 450–451. https://doi.org/10.1038/075450a0 (1907).

3. Grossman, S. J. & Stiglitz, J. E. On the impossibility of informationally efficient markets. Am. Econ. Rev. 70, 393–408 (1980).

4. Kendal, R. L. et al. Social learning strategies: bridge-building between fields. Trends Cognit. Sci. 22, 651–665 (2018).

5. Osiurak, F. & Reynaud, E. The elephant in the room: What matters cognitively in cumulative technological culture. Behav. Brain Sci. 43, (2020).

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3