Nicholson's blowflies revisited: A fuzzy modeling approach

Iosef Rashkovsky; Michael Margaliot

doi:10.1016/j.fss.2006.11.001

Nicholson's blowflies revisited: A fuzzy modeling approach

Iosef Rashkovsky, Michael Margaliot^*

^*Corresponding author for this work

School of Electrical Engineering

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

Abstract

We apply fuzzy modeling to derive a mathematical model for a biological phenomenon: the regulation of population size in the Australian sheep-blowfly Lucilia cuprina. This behavior was described by several ethologists and fuzzy modeling allows us to transform their verbal descriptions into a well-defined mathematical model. The behavior of the resulting mathematical model, as studied using both simulations and rigorous analysis, is congruent with the behavior actually observed in nature. We believe that the fuzzy modeling approach demonstrated here may supply a suitable framework for biomimicry, that is, the design of artificial systems based on mimicking natural behavior.

Original language	English
Pages (from-to)	1083-1096
Number of pages	14
Journal	Fuzzy Sets and Systems
Volume	158
Issue number	10
DOIs	https://doi.org/10.1016/j.fss.2006.11.001
State	Published - 16 May 2007

Keywords

Biomimicry
Differential equations with time-delay
Emergent behavior
Linguistic modeling
Periodic behavior
Population dynamics
Switched systems with time delay

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title = "Nicholson's blowflies revisited: A fuzzy modeling approach",

abstract = "We apply fuzzy modeling to derive a mathematical model for a biological phenomenon: the regulation of population size in the Australian sheep-blowfly Lucilia cuprina. This behavior was described by several ethologists and fuzzy modeling allows us to transform their verbal descriptions into a well-defined mathematical model. The behavior of the resulting mathematical model, as studied using both simulations and rigorous analysis, is congruent with the behavior actually observed in nature. We believe that the fuzzy modeling approach demonstrated here may supply a suitable framework for biomimicry, that is, the design of artificial systems based on mimicking natural behavior.",

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AB - We apply fuzzy modeling to derive a mathematical model for a biological phenomenon: the regulation of population size in the Australian sheep-blowfly Lucilia cuprina. This behavior was described by several ethologists and fuzzy modeling allows us to transform their verbal descriptions into a well-defined mathematical model. The behavior of the resulting mathematical model, as studied using both simulations and rigorous analysis, is congruent with the behavior actually observed in nature. We believe that the fuzzy modeling approach demonstrated here may supply a suitable framework for biomimicry, that is, the design of artificial systems based on mimicking natural behavior.

KW - Biomimicry

KW - Differential equations with time-delay

KW - Emergent behavior

KW - Linguistic modeling

KW - Periodic behavior

KW - Population dynamics

KW - Switched systems with time delay

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JO - Fuzzy Sets and Systems

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ER -

Nicholson's blowflies revisited: A fuzzy modeling approach

Abstract

Keywords

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