Evolving an Artificial Regulatory Network for 2D Cell Patterning

Author

Chavoya, Arturo ; Duthen, Yves

Author_Institution

Guadalajara Univ., Zapopan

fYear

2007

fDate

1-5 April 2007

Firstpage

47

Lastpage

53

Abstract

Cell pattern formation has a central role in both artificial and natural development. This paper provides results from experiments in which a genetic algorithm (GA) was used to evolve an artificial regulatory network (ARN) to produce predefined bidimensional cell patterns through the selective activation of genes. The GA worked by evolving the gene regulatory network that was used to control cell reproduction. Cellular automata (CA) were chosen as models for cell patterning. After the final chromosomes were obtained, a single cell in the middle of the CA lattice was allowed to reproduce controlled by the ARN found by the GA, until the desired pattern was formed

Keywords

artificial life; cellular automata; genetic algorithms; genetics; 2D cell patterning; artificial regulatory network; bidimensional cell patterns; cell reproduction; cellular automata; gene regulatory network; genetic algorithm; selective gene activation; Automatic control; Biological cells; Evolutionary computation; Genetic algorithms; Lattices; Mathematical model; Organisms; Pattern formation; Shape control; Table lookup;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Life, 2007. ALIFE '07. IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0701-X

Type

conf

DOI

10.1109/ALIFE.2007.367657

Filename

4218867