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 组合数学 数据库 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
赘婿应助宇文听南采纳,获得10
刚刚
1秒前
1秒前
卡酷一完成签到 ,获得积分10
1秒前
传奇3应助亓大大采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
CodeCraft应助ZHAOyifan采纳,获得10
4秒前
5秒前
5秒前
5秒前
kiki完成签到 ,获得积分10
5秒前
whykm91发布了新的文献求助10
6秒前
6秒前
成就的幻竹完成签到,获得积分10
6秒前
Jia发布了新的文献求助10
7秒前
游泳的虾饺完成签到,获得积分10
7秒前
科目三应助可靠的寒风采纳,获得10
7秒前
可爱的函函应助芝士采纳,获得10
8秒前
CipherSage应助芝士采纳,获得10
8秒前
orixero应助芝士采纳,获得10
8秒前
领导范儿应助芝士采纳,获得10
8秒前
ding应助芝士采纳,获得10
8秒前
小蘑菇应助芝士采纳,获得10
8秒前
李爱国应助芝士采纳,获得10
8秒前
Yang2完成签到,获得积分10
9秒前
9秒前
9秒前
Akim应助失眠毛衣采纳,获得10
9秒前
9秒前
10秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
11秒前
123456完成签到,获得积分10
11秒前
11秒前
我要去看星星完成签到 ,获得积分10
11秒前
Jasper应助LTHT采纳,获得10
12秒前
Gongl完成签到,获得积分10
12秒前
荷兰猪发布了新的文献求助10
12秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(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
Introduction to strong mixing conditions volume 1-3 5000
Ägyptische Geschichte der 21.–30. Dynastie 2500
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5743528
求助须知:如何正确求助?哪些是违规求助? 5414569
关于积分的说明 15347814
捐赠科研通 4884209
什么是DOI,文献DOI怎么找? 2625665
邀请新用户注册赠送积分活动 1574515
关于科研通互助平台的介绍 1531418