Open Systems & Information Dynamics · 2002 · 72 citations · 12 references
Life SciencesBiologyEntomologyAnimal BehaviorBehavioral EcologyInsect EcologyForaging EcologyInformation SearchOptimal ForagingAutocatalytic ReactionsCoupled Reaction-diffusion EquationsInformation Gathering During ForagingInformation Use In ForagingPositive FeedbackPositive Feedback LoopsReaction Rate EquationsReaction-diffusion Equations
We have developed a model of foraging behaviour of a honeybee colony based on reaction-diffusion equations and have studied how mapping the information about the explored environment to the hive determines this behaviour. The model utilizes two dominant components of colony's foraging behaviour — the recruitment to the located nectar sources and the abandonment of them. The recruitment is based upon positive feedback, i.e autocatalytic replication of information about the located source. If every potential forager in the hive, the onlooker, acquires information about all located sources, a common information niche is formed, which leads to the rapid selection of the most profitable nectar source. If the onlookers acquire information about some parts of the environment and slowly learn about the other parts, different information niches where individuals are associated mainly with a particular food source are formed, and the correspondent foraging trails coexist for longer periods. When selected nectar source becomes depleted, the foragers switch over to another, more profitable source. The faster the onlookers learn about the entire environment, the faster that switching occurs.
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Self-organized shortcuts in the Argentine ant
Simon Goss, Serge Aron, J. L. Deneubourg et al. · Die Naturwissenschaften · 1989 · 911 citations · Full text
Life Sciences, Biology, Ecology +12
Collective patterns and decision-making
J. L. Deneubourg, Simon Goss · Ethology Ecology & Evolution · 1989 · 671 citations · Full text
Life Sciences, Biology, Zoology +9