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An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System

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An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System. / Kuyucu, Tueze; Trefzer, Martin Albrecht; Miller, Julian Francis; Tyrrell, Andy.

In: IEEE Transactions on Evolutionary Computation, Vol. 15, No. 3, 5910672, 06.2011, p. 313-345.

Research output: Contribution to journalArticle

Harvard

Kuyucu, T, Trefzer, MA, Miller, JF & Tyrrell, A 2011, 'An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System', IEEE Transactions on Evolutionary Computation, vol. 15, no. 3, 5910672, pp. 313-345. https://doi.org/10.1109/TEVC.2011.2132724

APA

Kuyucu, T., Trefzer, M. A., Miller, J. F., & Tyrrell, A. (2011). An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System. IEEE Transactions on Evolutionary Computation, 15(3), 313-345. [5910672]. https://doi.org/10.1109/TEVC.2011.2132724

Vancouver

Kuyucu T, Trefzer MA, Miller JF, Tyrrell A. An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System. IEEE Transactions on Evolutionary Computation. 2011 Jun;15(3):313-345. 5910672. https://doi.org/10.1109/TEVC.2011.2132724

Author

Kuyucu, Tueze ; Trefzer, Martin Albrecht ; Miller, Julian Francis ; Tyrrell, Andy. / An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System. In: IEEE Transactions on Evolutionary Computation. 2011 ; Vol. 15, No. 3. pp. 313-345.

Bibtex - Download

@article{0fdadf8d6bba4ef68771ccc80030cd32,
title = "An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System",
abstract = "Multicellular organisms in biology possess invaluable characteristics, which artificial systems in engineering lack, such as adaptivity and robustness. Modeling biologically inspired multicellular developmental systems in evolutionary computation have been considered for a number of years, and there exist many developmental simulations that capture multicellular characteristics of biological organisms. However, the relative importance of many mechanisms in such models is still poorly understood. This paper undertakes a detailed investigation of the importance of many mechanisms and parameters on the organizational behavior of a gene regulatory network based artificial developmental system via classical pattern matching experiments. The work leads to an improved understanding of artificial multicellular development, which will assist in its utilization in the application of evolutionary computation. It may also provide a better understanding of mechanisms of biological development.",
author = "Tueze Kuyucu and Trefzer, {Martin Albrecht} and Miller, {Julian Francis} and Andy Tyrrell",
year = "2011",
month = "6",
doi = "10.1109/TEVC.2011.2132724",
language = "English",
volume = "15",
pages = "313--345",
journal = "IEEE Transactions on Evolutionary Computation",
issn = "1089-778X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System

AU - Kuyucu, Tueze

AU - Trefzer, Martin Albrecht

AU - Miller, Julian Francis

AU - Tyrrell, Andy

PY - 2011/6

Y1 - 2011/6

N2 - Multicellular organisms in biology possess invaluable characteristics, which artificial systems in engineering lack, such as adaptivity and robustness. Modeling biologically inspired multicellular developmental systems in evolutionary computation have been considered for a number of years, and there exist many developmental simulations that capture multicellular characteristics of biological organisms. However, the relative importance of many mechanisms in such models is still poorly understood. This paper undertakes a detailed investigation of the importance of many mechanisms and parameters on the organizational behavior of a gene regulatory network based artificial developmental system via classical pattern matching experiments. The work leads to an improved understanding of artificial multicellular development, which will assist in its utilization in the application of evolutionary computation. It may also provide a better understanding of mechanisms of biological development.

AB - Multicellular organisms in biology possess invaluable characteristics, which artificial systems in engineering lack, such as adaptivity and robustness. Modeling biologically inspired multicellular developmental systems in evolutionary computation have been considered for a number of years, and there exist many developmental simulations that capture multicellular characteristics of biological organisms. However, the relative importance of many mechanisms in such models is still poorly understood. This paper undertakes a detailed investigation of the importance of many mechanisms and parameters on the organizational behavior of a gene regulatory network based artificial developmental system via classical pattern matching experiments. The work leads to an improved understanding of artificial multicellular development, which will assist in its utilization in the application of evolutionary computation. It may also provide a better understanding of mechanisms of biological development.

UR - http://www.scopus.com/inward/record.url?scp=79959723005&partnerID=8YFLogxK

U2 - 10.1109/TEVC.2011.2132724

DO - 10.1109/TEVC.2011.2132724

M3 - Article

VL - 15

SP - 313

EP - 345

JO - IEEE Transactions on Evolutionary Computation

JF - IEEE Transactions on Evolutionary Computation

SN - 1089-778X

IS - 3

M1 - 5910672

ER -