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Entomological Research Letters

2026 Volume 6 Issue 1
Creative Commons License

Distributed Decision Making Enables Collective Intelligence in Social Insects Facing Rapid and Unpredictable Environmental Change


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  1. Department of Collective Intelligence and Distributed Decision Making, Faculty of Biosciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  2. Department of Social Insects and Unpredictable Change, Faculty of Life Sciences, University of Coimbra, Coimbra, Portugal.
  3. Department of Collective Responses to Environmental Change, Faculty of Sciences, University of São Paulo, São Paulo, Brazil.
Abstract

Social-insect colonies often act coherently without centralized control, yet coherence alone does not establish collective intelligence. Rapid environmental change creates a harder problem: information must be acquired, filtered, amplified, revised, and sometimes discarded before it becomes obsolete. This perspective develops a proposed behavioral-systems account in which collective performance emerges from the coupling of distributed sensing, local state-dependent processing, recruitment, quorum formation, heterogeneous response thresholds, and corrective feedback. Evidence from ants and honey bees shows that workers can extend group sensing through interaction, alter responses according to physiological and social context, learn components of communication, and combine positive recruitment with inhibitory signals. The same literature also shows limits: stronger activity does not necessarily improve exploitation, consensus can trade quality for cohesion, and heterogeneity is beneficial only conditionally. We therefore argue that collective intelligence should be evaluated as a time-sensitive systems property rather than as an intrinsic attribute of eusociality. The proposed framework predicts that colonies should perform best when information acquisition, amplification, inhibition, and response thresholds remain matched to the rate at which environmental conditions change. Its generality remains to be tested beyond the ant- and honey-bee-dominated evidence base.


How to cite this article
Vancouver
Costa G, Ribeiro L, Alves R, Lopes M. Distributed Decision Making Enables Collective Intelligence in Social Insects Facing Rapid and Unpredictable Environmental Change. Entomol Res Lett. 2026;6(1):51-60. https://doi.org/10.51847/GWHuZvUBlI
APA
Costa, G., Ribeiro, L., Alves, R., & Lopes, M. (2026). Distributed Decision Making Enables Collective Intelligence in Social Insects Facing Rapid and Unpredictable Environmental Change. Entomological Research Letters, 6(1), 51-60. https://doi.org/10.51847/GWHuZvUBlI
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