TY - JOUR
T1 - Nicholson's blowflies revisited
T2 - A fuzzy modeling approach
AU - Rashkovsky, Iosef
AU - Margaliot, Michael
PY - 2007/5/16
Y1 - 2007/5/16
N2 - 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.
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
UR - http://www.scopus.com/inward/record.url?scp=33947261046&partnerID=8YFLogxK
U2 - 10.1016/j.fss.2006.11.001
DO - 10.1016/j.fss.2006.11.001
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AN - SCOPUS:33947261046
SN - 0165-0114
VL - 158
SP - 1083
EP - 1096
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 10
ER -