The fuzzy ant

Valeri Rozin, Michael Margaliot

Research output: Contribution to journalArticlepeer-review

Abstract

We apply fuzzy modeling to transform a verbal description of the foraging behavior of ants into a well-defined mathematical model. The resulting model is simpler, more plausible, and more amenable to analysis than previously suggested models. We believe that fuzzy modeling may be suitable for addressing biomimicry, that is, the development of artificial products or machines that mimic biological phenomena, in a systematic manner.

Original languageEnglish
Article number4383065
Pages (from-to)18-28
Number of pages11
JournalIEEE Computational Intelligence Magazine
Volume2
Issue number4
DOIs
StatePublished - Nov 2007

Keywords

  • Differential equations with time delay
  • Emergent behavior
  • Hopfield-type neural networks
  • Linguistic modeling
  • Lyapunov-Krasovskii functional
  • Mass foraging
  • Social insects
  • Soft computing

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