Learning from House-Hunting Ants: Collective Decision-Making in Organic Computing Systems

  • Brutschy A
  • Scheidler A
  • Merkle D
 et al. 
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Abstract

*[This paper proposes ant-inspired strategies for self-organized & decentralized collective decision-making in computing systems which employ reconfigurable units. The particular principles used for the design of these strategies are inspired by the house-hunting of the ant Temnothorax albipennis. The considered computing system consists of 2 types of units: so-called worker units that are able to execute jobs that come into the system, & scout units that are additionally responsible for the reconfiguration process of all units. The ant-inspired strategies are analyzed experimentally & are compared to a non-adaptive reference strategy.]

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Authors

  • Arne Brutschy

  • Alexander Scheidler

  • Daniel Merkle

  • Martin Middendorf

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