Comparing cooperative geometric puzzle solving in ants versus humans

认知 计算机科学 可扩展性 不相交集 集体智慧 抓住 认知心理学 人工智能 人机交互 心理学 数学 数据库 组合数学 神经科学 程序设计语言
作者
Tabea Dreyer,Amir Haluts,Amos Korman,Nir S. Gov,Ehud Fonio,Ofer Feinerman
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:122 (1) 被引量:3
标识
DOI:10.1073/pnas.2414274121
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
潮哈哈耶完成签到,获得积分10
刚刚
1秒前
GEeZiii发布了新的文献求助10
1秒前
1秒前
可耐的冰萍完成签到,获得积分10
1秒前
哈哈哈哈哈哈完成签到,获得积分10
2秒前
求知的土拨鼠完成签到,获得积分10
2秒前
北风发布了新的文献求助10
2秒前
研团子发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
4秒前
4秒前
希望天下0贩的0应助华琪采纳,获得10
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
十七完成签到 ,获得积分10
6秒前
大方岩发布了新的文献求助10
7秒前
7秒前
情怀应助柠檬采纳,获得10
7秒前
8秒前
量子星尘发布了新的文献求助10
8秒前
曼荷菠萝发布了新的文献求助10
9秒前
李健应助ZZ采纳,获得10
9秒前
yang发布了新的文献求助10
9秒前
白白白发布了新的文献求助10
9秒前
小李同学发布了新的文献求助30
10秒前
蓝蓝蓝发布了新的文献求助10
10秒前
10秒前
阿巴阿巴发布了新的文献求助10
10秒前
初空月儿发布了新的文献求助10
11秒前
11秒前
lvzhihao发布了新的文献求助10
11秒前
11秒前
赵清持完成签到,获得积分10
11秒前
李爱国应助阳光的涵菡采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Active-site design in Cu-SSZ-13 curbs toxic hydrogen cyanide emissions 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5462397
求助须知:如何正确求助?哪些是违规求助? 4567107
关于积分的说明 14308810
捐赠科研通 4492907
什么是DOI,文献DOI怎么找? 2461315
邀请新用户注册赠送积分活动 1450358
关于科研通互助平台的介绍 1425794