Behavioral Ecology and Sociobiology

, Volume 59, Issue 3, pp 427–442

Modeling and analysis of nest-site selection by honeybee swarms: the speed and accuracy trade-off

Original Article

DOI: 10.1007/s00265-005-0067-y

Cite this article as:
Passino, K.M. & Seeley, T.D. Behav Ecol Sociobiol (2006) 59: 427. doi:10.1007/s00265-005-0067-y


Nest-site selection in honeybees is a process of social decision making in which the scout bees in a swarm locate several potential nest sites, evaluate them, and select the best one by means of competitive signaling. We develop a model of this process and validate that the model possesses the key features of the bees' decision-making process, as revealed by prior empirical studies. Next, we use the model to study the “design” of the nest-site selection process, with a focus on how certain behavioral parameters have been tuned by natural selection to achieve a balance between speed and accuracy. First, we study the effects of the quorum threshold and the dance decay rate. We show that evolution seems to have settled on values for these two parameters that seek a balance between speed and accuracy of decision making by minimizing the time needed to achieve a consensus and maximizing the probability that the best site is chosen. Second, we study the adaptive tuning of the tendency of bees to explore for vs be recruited to a site. We show that this tendency appears to be tuned to regulate the positive feedback process of recruitment to ensure both a reasonably rapid choice and a low probability of a poor choice. Finally we show that the probability of choosing the best site is proportional to its quality, but that this proportionality depends on its quality relative to other discovered sites.


Apis melliferaHoneybeeNest-site selectionSocial decision making

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringOhio State UniversityColumbusUSA
  2. 2.Department of Neurobiology and BehaviorCornell UniversityIthacaUSA