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Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition

Collective decision making in the social insects often proceeds via feedback cycles based on positive signaling. Negative signals have, however, been found in a few contexts in which costs exist for paying attention to no longer useful information. Here we incorporate new research on the specificity...

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Detalles Bibliográficos
Autores principales: Johnson, Brian R., Nieh, James C.
Formato: Texto
Lenguaje:English
Publicado: Springer US 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955239/
https://www.ncbi.nlm.nih.gov/pubmed/21037953
http://dx.doi.org/10.1007/s10905-010-9229-5
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author Johnson, Brian R.
Nieh, James C.
author_facet Johnson, Brian R.
Nieh, James C.
author_sort Johnson, Brian R.
collection PubMed
description Collective decision making in the social insects often proceeds via feedback cycles based on positive signaling. Negative signals have, however, been found in a few contexts in which costs exist for paying attention to no longer useful information. Here we incorporate new research on the specificity and context of the negative stop signal into an agent based model of honey bee foraging to explore the adaptive basis of negative signaling in the dance language. Our work suggests that the stop signal, by acting as a counterbalance to the waggle dance, allows colonies to rapidly shut down attacks on other colonies. This could be a key adaptation, as the costs of attacking a colony strong enough to defend itself are significant. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10905-010-9229-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-29552392010-10-29 Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition Johnson, Brian R. Nieh, James C. J Insect Behav Article Collective decision making in the social insects often proceeds via feedback cycles based on positive signaling. Negative signals have, however, been found in a few contexts in which costs exist for paying attention to no longer useful information. Here we incorporate new research on the specificity and context of the negative stop signal into an agent based model of honey bee foraging to explore the adaptive basis of negative signaling in the dance language. Our work suggests that the stop signal, by acting as a counterbalance to the waggle dance, allows colonies to rapidly shut down attacks on other colonies. This could be a key adaptation, as the costs of attacking a colony strong enough to defend itself are significant. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10905-010-9229-5) contains supplementary material, which is available to authorized users. Springer US 2010-09-14 2010 /pmc/articles/PMC2955239/ /pubmed/21037953 http://dx.doi.org/10.1007/s10905-010-9229-5 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Johnson, Brian R.
Nieh, James C.
Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title_full Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title_fullStr Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title_full_unstemmed Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title_short Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
title_sort modeling the adaptive role of negative signaling in honey bee intraspecific competition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955239/
https://www.ncbi.nlm.nih.gov/pubmed/21037953
http://dx.doi.org/10.1007/s10905-010-9229-5
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