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  Trophallaxis-inspired model for distributed transport between randomly interacting agents

Gräwer, J., Ronellenfitsch, H., Mazza, M. G., & Katifori, E. (2017). Trophallaxis-inspired model for distributed transport between randomly interacting agents. Physical Review E, 96(2): 022111. doi:10.1103/PhysRevE.96.022111.

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 Creators:
Gräwer, Johannes1, Author           
Ronellenfitsch, Henrik, Author
Mazza, Marco G.2, Author           
Katifori, Eleni, Author
Affiliations:
1Max Planck Research Group Physics of Biological Organization, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063293              
2Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063308              

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 Abstract: Trophallaxis, the regurgitation and mouth to mouth transfer of liquid food between members of eusocial insect societies, is an important process that allows the fast and efficient dissemination of food in the colony. Trophallactic systems are typically treated as a network of agent interactions. This approach, though valuable, does not easily lend itself to analytic predictions. In this work we consider a simple trophallactic system of randomly interacting agents with finite carrying capacity, and calculate analytically and via a series of simulations the global food intake rate for the whole colony as well as observables describing how uniformly the food is distributed within the nest. Our model and predictions provide a useful benchmark to assess to what level the observed food uptake rates and efficiency in food distribution is due to stochastic effects or specific trophallactic strategies by the ant colony. Our work also serves as a stepping stone to describing the collective properties of more complex trophallactic systems, such as those including division of labor between foragers and workers.

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Language(s): eng - English
 Dates: 2017-08-072017-08
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevE.96.022111
 Degree: -

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Title: Physical Review E
Source Genre: Journal
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Pages: 16 Volume / Issue: 96 (2) Sequence Number: 022111 Start / End Page: - Identifier: ISSN: 1539-3755