The art of nature: evolving mechanisms of development for self-organization and differentiation

Author

Kumar, Sanjeev

Author_Institution

Krasnow Inst. for Adv. Study, George Mason Univ., Fairfax, VA

Volume

1

fYear

2005

fDate

5-5 Sept. 2005

Firstpage

551

Abstract

Recently, researchers have recognised the benefits of learning from biological development in order to engineer self-organizing solutions to problems. This paper explores the application of the developmental metaphor to the problem of controlling single and multicellular development. In this paper, a summary of experiments performed using a multicellular test-bed model of biological development, the Evolutionary Developmental System (EDS), is presented. The EDS is shown to successfully evolve genetic regulatory networks that specify and control the behaviour of single cells and the construction of 3D multicellular geometric morphologies to explore self-organization and analogues of phenomena akin to biological cell differentiation in multicellular development

Keywords

biology computing; cellular biophysics; evolution (biological); genetics; object-oriented methods; 3D multicellular geometric morphologies; Evolutionary Developmental System; biological cell differentiation; genetic regulatory network evolving; multicellular test-bed model; object-oriented model; self-organization; single cell behaviour control; Bioinformatics; Biological system modeling; Cells (biology); Genetics; Genomics; Morphology; Object oriented modeling; Protein engineering; Subspace constraints; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2005. The 2005 IEEE Congress on

Conference_Location

Edinburgh, Scotland

Print_ISBN

0-7803-9363-5

Type

conf

DOI

10.1109/CEC.2005.1554731

Filename

1554731