Braess's paradox in tandem-running ants: When shortest path is not the quickest

Fuente: arXiv
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Autores principales: Bairagya, Joy Das, Chakraborti, Udipta, Annagiri, Sumana, Chakraborty, Sagar
Formato: Preprint
Publicado: 2026
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author Bairagya, Joy Das
Chakraborti, Udipta
Annagiri, Sumana
Chakraborty, Sagar
author_facet Bairagya, Joy Das
Chakraborti, Udipta
Annagiri, Sumana
Chakraborty, Sagar
contents Braess's paradox -- where adding network capacity increases travel time -- is typically attributed to selfish agents. Although eusocial colonies maximize collective fitness, we find experimentally that \emph{Diacamma indicum} ants exhibit this paradox: Leaders favour the shortest path even when it slows the colony. We present a quantitative model of the exploration-exploitation trade-off, demonstrating that evolutionary forces selecting for shortest-path identification can force suboptimal global states. This proves the paradox can emerge in highly cooperative systems without individual selfishness.
format Preprint
id arxiv_https___arxiv_org_abs_2603_26226
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Braess's paradox in tandem-running ants: When shortest path is not the quickest
Bairagya, Joy Das
Chakraborti, Udipta
Annagiri, Sumana
Chakraborty, Sagar
Biological Physics
Adaptation and Self-Organizing Systems
Populations and Evolution
Braess's paradox -- where adding network capacity increases travel time -- is typically attributed to selfish agents. Although eusocial colonies maximize collective fitness, we find experimentally that \emph{Diacamma indicum} ants exhibit this paradox: Leaders favour the shortest path even when it slows the colony. We present a quantitative model of the exploration-exploitation trade-off, demonstrating that evolutionary forces selecting for shortest-path identification can force suboptimal global states. This proves the paradox can emerge in highly cooperative systems without individual selfishness.
title Braess's paradox in tandem-running ants: When shortest path is not the quickest
topic Biological Physics
Adaptation and Self-Organizing Systems
Populations and Evolution
url https://arxiv.org/abs/2603.26226