%0 Conference Paper %1 kumar:2005:CEC %A Kumar, Sanjeev %B Proceedings of the 2005 IEEE Congress on Evolutionary Computation %C Edinburgh, UK %D 2005 %E Corne, David %E Michalewicz, Zbigniew %E Dorigo, Marco %E Eiben, Gusz %E Fogel, David %E Fonseca, Carlos %E Greenwood, Garrison %E Chen, Tan Kay %E Raidl, Guenther %E Zalzala, Ali %E Lucas, Simon %E Paechter, Ben %E Willies, Jennifier %E Guervos, Juan J. Merelo %E Eberbach, Eugene %E McKay, Bob %E Channon, Alastair %E Tiwari, Ashutosh %E Volkert, L. Gwenn %E Ashlock, Dan %E Schoenauer, Marc %I IEEE Press %K algorithms, genetic programming %P 551--558 %T The Art of Nature: Evolving Mechanisms of Development for Self- Organization and Differentiation %V 1 %X Recently, researchers have recognised the benefits of learning from biological development in order to engineer self-organising 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 organisation and analogues of phenomena akin to biological cell differentiation in multicellular development. %@ 0-7803-9363-5

@inproceedings{kumar:2005:CEC, abstract = {Recently, researchers have recognised the benefits of learning from biological development in order to engineer self-organising 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 organisation and analogues of phenomena akin to biological cell differentiation in multicellular development.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Edinburgh, UK}, author = {Kumar, Sanjeev}, biburl = {https://www.bibsonomy.org/bibtex/29a2e5f19402340ec9704cd7472026609/brazovayeye}, booktitle = {Proceedings of the 2005 IEEE Congress on Evolutionary Computation}, editor = {Corne, David and Michalewicz, Zbigniew and Dorigo, Marco and Eiben, Gusz and Fogel, David and Fonseca, Carlos and Greenwood, Garrison and Chen, Tan Kay and Raidl, Guenther and Zalzala, Ali and Lucas, Simon and Paechter, Ben and Willies, Jennifier and Guervos, Juan J. Merelo and Eberbach, Eugene and McKay, Bob and Channon, Alastair and Tiwari, Ashutosh and Volkert, L. Gwenn and Ashlock, Dan and Schoenauer, Marc}, interhash = {aa4dad5c165536f210610d08ac92bdb5}, intrahash = {9a2e5f19402340ec9704cd7472026609}, isbn = {0-7803-9363-5}, keywords = {algorithms, genetic programming}, month = {2-5 September}, notes = {CEC2005 - A joint meeting of the IEEE, the IEE, and the EPS.}, organisation = {IEEE Computational Intelligence Society, Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)}, pages = {551--558}, publisher = {IEEE Press}, publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA}, timestamp = {2008-06-19T17:44:32.000+0200}, title = {The Art of Nature: Evolving Mechanisms of Development for Self- Organization and Differentiation}, volume = 1, year = 2005 }