Modeling and analysis of nest-site selection by honeybee swarms: the speed and accuracy trade-off
By Kevin M. Passino, T. Seeley. Behavioral Ecology and Sociobiology, 2005
177 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science
View Paper: https://www.semanticscholar.org/paper/20a4d2caab2914cc29c56d316b370158ba01c833
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In Ecology, Evolution, Behavior and Systematics
- Kevin M. Passino
- P. Kirk Visscher
- T. Seeley
- Richard P. Heitz
- David J. T. Sumpter
- Iain D. Couzin
- Stephen C. Pratt
- Taylor H. Ricketts
In Genetics
- Kevin M. Passino
- P. Kirk Visscher
- T. Seeley
- Richard P. Heitz
- David J. T. Sumpter
- Iain D. Couzin
- Stephen C. Pratt
- Taylor H. Ricketts
In Insect Science
- Kevin M. Passino
- P. Kirk Visscher
- T. Seeley
- Richard P. Heitz
- Stephen C. Pratt
- Taylor H. Ricketts
- David J. T. Sumpter
- Karl Crailsheim
Citations in the corpus
- Stigmergic landmark foraging (2009, background): “a) The behavior of agents in ManageBeeBehavior() is determined by the six possible internal states and is inspired by agent behavior as described in [23].”
- Swarm cognition in honey bees (2007, methodology): “Simulation: group memory quality and impact on choice performance We used 1,000 simulation runs where sites 1–6 have qualities of 0.5, 0.6, 0.7, 0.8, 0.9, and 1, respectively ( " case 2 " in Passino and Seeley 2006).”
- The speed-accuracy tradeoff: history, physiology, methodology, and behavior (2014, background): “A computational model of bee quorum sensing confirms that changing the QT (the number of bees needed to commit to the new hive) implements SAT in an ecologically valid way (Passino and Seeley, 2006).”