Evolving L-systems in a competitive environment

Job Talle; Jiri Kosinka

doi:10.1007/978-3-030-61864-3_28

Evolving L-systems in a competitive environment

Job Talle^*, Jiri Kosinka

^*Corresponding author voor dit werk

Onderzoeksoutput › Academic › peer review

5 Citaten (Scopus)

109 Downloads (Pure)

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Lindenmayer systems (L-systems) have been developed to model plant growth by repeatedly applying production rules to an initial axiom, and serve as a model for genetically driven growth processes found in nature. A simulation method is proposed to evolve their phenotypic representations through competition in a heterogeneous environment to further expand on this biological analogy. The resulting simulations demonstrate evolution driven by competition, resulting in agents employing strategies similar to those found in nature.

Originele taal-2	English
Titel	Advances in Computer Graphics
Redacteuren	N. Magnenat-Thalmann, C. Stephanidis, E. Wu, D. Thalmann, B. Sheng, J. Kim, G. Papagiannakis, M. Gavrilova
Uitgeverij	Springer
Pagina's	326-350
ISBN van elektronische versie	978-3-030-61864-3
ISBN van geprinte versie	978-3-030-61863-6
DOI's	https://doi.org/10.1007/978-3-030-61864-3_28
Status	Published - okt.-2020
Evenement	37th Computer Graphics International Conference, CGI 2020 - Geneva, Switzerland Duur: 20-okt.-2020 → 23-okt.-2020

Publicatie series

Naam	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Uitgeverij	Springer
Volume	12221

Conference

Conference	37th Computer Graphics International Conference, CGI 2020
Land/Regio	Switzerland
Stad	Geneva
Periode	20/10/2020 → 23/10/2020

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10.1007/978-3-030-61864-3_28

Evolving L-systemsin a competitive environmentFinal publisher's version, 104 MBLicentie: Taverne

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Talle, J., & Kosinka, J. (2020). Evolving L-systems in a competitive environment. In N. Magnenat-Thalmann, C. Stephanidis, E. Wu, D. Thalmann, B. Sheng, J. Kim, G. Papagiannakis, & M. Gavrilova (editors), Advances in Computer Graphics (blz. 326-350). (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Vol. 12221). Springer. https://doi.org/10.1007/978-3-030-61864-3_28

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title = "Evolving L-systems in a competitive environment",

abstract = "Lindenmayer systems (L-systems) have been developed to model plant growth by repeatedly applying production rules to an initial axiom, and serve as a model for genetically driven growth processes found in nature. A simulation method is proposed to evolve their phenotypic representations through competition in a heterogeneous environment to further expand on this biological analogy. The resulting simulations demonstrate evolution driven by competition, resulting in agents employing strategies similar to those found in nature.",

author = "Job Talle and Jiri Kosinka",

year = "2020",

month = oct,

doi = "10.1007/978-3-030-61864-3_28",

language = "English",

isbn = "978-3-030-61863-6",

series = "Image Processing, Computer Vision, Pattern Recognition, and Graphics",

publisher = "Springer",

pages = "326--350",

editor = "N. Magnenat-Thalmann and C. Stephanidis and E. Wu and D. Thalmann and B. Sheng and J. Kim and G. Papagiannakis and M. Gavrilova",

booktitle = "Advances in Computer Graphics",

note = "37th Computer Graphics International Conference, CGI 2020 ; Conference date: 20-10-2020 Through 23-10-2020",

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Talle, J & Kosinka, J 2020, Evolving L-systems in a competitive environment. in N Magnenat-Thalmann, C Stephanidis, E Wu, D Thalmann, B Sheng, J Kim, G Papagiannakis & M Gavrilova (uitgave), Advances in Computer Graphics. Image Processing, Computer Vision, Pattern Recognition, and Graphics, vol. 12221, Springer, blz. 326-350, 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, 20/10/2020. https://doi.org/10.1007/978-3-030-61864-3_28

Evolving L-systems in a competitive environment. / Talle, Job; Kosinka, Jiri.
Advances in Computer Graphics. uitgave / N. Magnenat-Thalmann; C. Stephanidis; E. Wu; D. Thalmann; B. Sheng; J. Kim; G. Papagiannakis; M. Gavrilova. Springer, 2020. blz. 326-350 (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Vol. 12221).

Onderzoeksoutput › Academic › peer review

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AU - Talle, Job

AU - Kosinka, Jiri

PY - 2020/10

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N2 - Lindenmayer systems (L-systems) have been developed to model plant growth by repeatedly applying production rules to an initial axiom, and serve as a model for genetically driven growth processes found in nature. A simulation method is proposed to evolve their phenotypic representations through competition in a heterogeneous environment to further expand on this biological analogy. The resulting simulations demonstrate evolution driven by competition, resulting in agents employing strategies similar to those found in nature.

AB - Lindenmayer systems (L-systems) have been developed to model plant growth by repeatedly applying production rules to an initial axiom, and serve as a model for genetically driven growth processes found in nature. A simulation method is proposed to evolve their phenotypic representations through competition in a heterogeneous environment to further expand on this biological analogy. The resulting simulations demonstrate evolution driven by competition, resulting in agents employing strategies similar to those found in nature.

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SN - 978-3-030-61863-6

T3 - Image Processing, Computer Vision, Pattern Recognition, and Graphics

SP - 326

EP - 350

BT - Advances in Computer Graphics

A2 - Magnenat-Thalmann, N.

A2 - Stephanidis, C.

A2 - Wu, E.

A2 - Thalmann, D.

A2 - Sheng, B.

A2 - Kim, J.

A2 - Papagiannakis, G.

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PB - Springer

T2 - 37th Computer Graphics International Conference, CGI 2020

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Evolving L-systems in a competitive environment

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