The fuzzy ant

Valeri Rozin; Michael Margaliot

doi:10.1109/MCI.2007.906684

The fuzzy ant

Valeri Rozin^*, Michael Margaliot

^*Corresponding author for this work

Department of Electrical Engineering - Systems

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

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 language	English
Article number	4383065
Pages (from-to)	18-28
Number of pages	11
Journal	IEEE Computational Intelligence Magazine
Volume	2
Issue number	4
DOIs	https://doi.org/10.1109/MCI.2007.906684
State	Published - 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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10.1109/MCI.2007.906684

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The fuzzy ant

Abstract

Keywords

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