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比较蚂蚁与人类合作解决几何谜题的情况。

Comparing cooperative geometric puzzle solving in ants versus humans.

作者信息

Dreyer Tabea, Haluts Amir, Korman Amos, Gov Nir, Fonio Ehud, Feinerman Ofer

机构信息

Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001 Rehovot, Israel.

Department of Chemical and Biological Physics, Weizmann Institute of Science, 7610001 Rehovot, Israel.

出版信息

Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2414274121. doi: 10.1073/pnas.2414274121. Epub 2024 Dec 23.

Abstract

Biological ensembles use collective intelligence to tackle challenges together, but suboptimal coordination can undermine the effectiveness of group cognition. Testing whether collective cognition exceeds that of the individual is often impractical since different organizational scales tend to face disjoint problems. One exception is the problem of navigating large loads through complex environments and toward a given target. People and ants stand out in their ability to efficiently perform this task not just individually but also as a group. This provides a rare opportunity to empirically compare problem-solving skills and cognitive traits across species and group sizes. Here, we challenge people and ants with the same "piano-movers" load maneuvering puzzle and show that while ants perform more efficiently in larger groups, the opposite is true for humans. We find that although individual ants cannot grasp the global nature of the puzzle, their collective motion translates into emergent cognitive skills. They encode short-term memory in their internally ordered state and this allows for enhanced group performance. People comprehend the puzzle in a way that allows them to explore a reduced search space and, on average, outperform ants. However, when communication is restricted, groups of people resort to the most obvious maneuvers to facilitate consensus. This is reminiscent of ant behavior, and negatively impacts their performance. Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently.

摘要

生物群体利用集体智慧共同应对挑战,但协调不佳会削弱群体认知的有效性。由于不同的组织规模往往面临不相关的问题,测试集体认知是否超过个体认知通常不切实际。一个例外是在复杂环境中搬运大量物品并朝着给定目标行进的问题。人类和蚂蚁在有效执行这项任务方面表现突出,不仅个体能够做到,群体也能做到。这提供了一个难得的机会,可通过实证比较不同物种和群体规模的解决问题能力和认知特征。在此,我们用同一个“钢琴搬运工”负载操纵谜题挑战人类和蚂蚁,结果表明,虽然蚂蚁在较大群体中表现得更高效,但人类的情况则相反。我们发现,尽管单个蚂蚁无法理解谜题的全局性质,但它们的集体行动转化为了涌现的认知技能。它们在内部有序状态中编码短期记忆,这使得群体表现得以提升。人类理解谜题的方式使他们能够探索缩小的搜索空间,平均而言,表现优于蚂蚁。然而,当交流受到限制时,人群体会采取最明显的策略来促进达成共识。这让人联想到蚂蚁的行为,并对他们的表现产生负面影响。我们的结果例证了简单的头脑如何能够轻易实现可扩展性,而复杂的大脑则需要广泛的交流才能高效协作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c2/11725855/6739614c58e5/pnas.2414274121fig01.jpg

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