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Task Allocation in Ant Colonies

  • Alejandro Cornejo
  • Anna Dornhaus
  • Nancy Lynch
  • Radhika Nagpal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8784)

Abstract

In this paper we propose a mathematical model for studying the phenomenon of division of labor in ant colonies. Inside this model we investigate how simple task allocation mechanisms can be used to achieve an optimal division of labor.

We believe the proposed model captures the essential biological features of division of labor in ant colonies and is general enough to study a variety of different task allocation mechanisms. Within this model we propose a distributed randomized algorithm for task allocation that imposes only minimal requirements on the ants; it uses a constant amount of memory and relies solely on a primitive binary feedback function to sense the current labor allocation. We show that with high probability the proposed algorithm converges to a near-optimal division of labor in time which is proportional to the logarithm of the colony size.

Keywords

Colony Size Social Insect Task Assignment Task Allocation Behavioral Ecology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Alejandro Cornejo
    • 1
  • Anna Dornhaus
    • 2
  • Nancy Lynch
    • 3
  • Radhika Nagpal
    • 1
  1. 1.School of Engineering and Applied SciencesHarvard UniversityUSA
  2. 2.Ecology and Evolutionary BiologyUniversity of ArizonaUSA
  3. 3.Massachusetts Institute of TechnologyCSAILUSA

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