Shape homeostasis in virtual embryos

Artificial Life

Volumn 15, Issue 2, 2009, Pages 161-183

  Andersen, Tim ^a   Newman, Richard ^a   Otter, Tim ^a  

^a Crowley Davis Research   (United States)

Author keywords

Developmental computing; Emergence; Gene Regulatory network; Homeostasis; Self repair

Indexed keywords

EVOLUTIONARY ALGORITHMS; GENES;

DEVELOPMENTAL COMPUTING; EMERGENCE; GENE REGULATORY NETWORKS; HOMEOSTASIS; SELF REPAIR;

CELL SIGNALING;

ANIMAL; ANIMAL EMBRYO; ARTICLE; BIOLOGY; CYTOLOGY; EVOLUTION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; GENETICS; GENOME; HOMEOSTASIS; METABOLISM; PRENATAL DEVELOPMENT; REGENERATION; SIGNAL TRANSDUCTION;

ANIMALS; COMPUTATIONAL BIOLOGY; EMBRYO, MAMMALIAN; EMBRYO, NONMAMMALIAN; EVOLUTION; GENE EXPRESSION REGULATION, DEVELOPMENTAL; GENE REGULATORY NETWORKS; GENOME; HOMEOSTASIS; REGENERATION; SIGNAL TRANSDUCTION; TRANSCRIPTION, GENETIC;

EID: 67650155964     PISSN: 10645462     EISSN: 15309185     Source Type: Journal    
DOI: 10.1162/artl.2009.15.2.15201     Document Type: Article

References (36)

1. Andersen, T., Newman, R., & Otter, T. (2006). Development of virtual embryos with emergent self-repair. In AAAI Fall Workshop on Developmental Systems, Technical Report FS-06-03 (pp. 16-23). Menlo Park, CA: AAAI Press.
2. Andersen, T., Otter, T., Petschulat, C., Eoff, U., Menten, T., Davis, R., & Crowley, B. (2005). A biologically-derived approach to tissue modeling. Studies in Health Technology and Informatics, 111, 15-21.
3. Bedau, M. (2003). Downward causation and the autonomy of weak emergence. Principia, 6, 5-50.
4. Bongard, J. C. (2002). Evolving modular genetic regulatory networks. In Proceedings of the IEEE 2002 Congress on Evolutionary Computation (CEC2002) (pp. 1872-1877). Piscataway, NJ: IEEE Press.
5. Brenner, S. (1999). Theoretical biology in the third millennium. Philosophical Transactions of the Royal Society B, 354, 1963-1965.
6. Carlson, B. M. (1996). Patten's foundations of embryology. New York: McGraw-Hill.
7. Eggenberger, P. (1997). In P. Husbands & I. Harvey (Eds.), 4th European Conference on Artificial Life (pp. 205-213). Berlin: Springer-Verlag.
8. Eggenberger Hotz, P. (2003). Combining developmental processes and their physics in an artificial evolutionary system to evolve shapes. In S. Kumar & P. J. Bentley (Eds.), On growth, form, and computers (pp. 302-318). New York: Elsevier.
9. Federici, D. (2005). Fault-tolerance by regeneration: Using development to achieve robust self-healing neural networks. In Proceedings of the 2005 IEEE International Joint Conference on Neural Networks (pp. 2808-2813). Piscataway, NJ: IEEE Press.
10. Fleischer, K. (1996). Investigations with a multicellular developmental model. In Artificial Life V: Proceedings of the 5th International Workshop on the Synthesis and Simulation of Living Systems (pp. 229-236). Cambridge, MA: MIT Press.
11. Fleischer, K., & Barr, A. H. (1993). A simulation testbed for the study of multicellular development: The multiple mechanisms of morphogenesis. In C. G. Langton (Ed.), Artificial Life III (pp. 389-416). Reading, MA: Addison-Wesley.
12. Furusawa, C., & Kaneko, K. (1998). Emergence of multicellular organisms with dynamic differentiation and spatial pattern. Artificial Life, 4, 79-93.
13. Gerhart, J., & Kirschner, M. (1997). Cells, embryos, and evolution. Malden, MA: Blackwell Science.
14. Gilbert, S. F. (1997). Developmental biology. Sunderland, MA: Sinauer Assoc.
15. Harris, A. K. (1987). Cell motility and the problem of anatomical homeostasis. Journal of Cell Science Supplement, 8, 121-140.
16. Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999). From molecular to modular cell biology. Nature, 402, C47-C52.
17. Hogeweg, P. (2000). Evolving mechanisms of morphogenesis: On the interplay between differential adhesion and cell differentiation. Journal of Theoretical Biology, 203, 317-333.
18. Jacks, T., & Weinberg, R. A. (2002). Taking the study of cancer cell survival to a new dimension. Cell, 111, 923-925.
19. Keller, E. F. (2002). Making sense of life. Cambridge, MA: Harvard University Press.
20. Kirschner, M. (2005). The meaning of systems biology. Cell, 121, 503-504.
21. Kumar, S., & Bentley, P. J. (2003). Computational embryology: Past, present and future. In A. Ghosh & S. Tsutsui (Eds.), Advances in evolutionary computation: Theory and applications (pp. 461-478). New York: Springer.
22. Maree, A. F. M., & Hogeweg, P. (2001). How amoeboids self-organize into a fruiting body: Multicellular coordination in Dictyostelium discoideum. Proceedings of the National Academy of Sciences of the USA, 98, 3879-3883.
23. Meier, P., Finch, A., & Evan, G. (2000). Apoptosis in development. Nature, 407, 796-801.
24. Miller, J. (2004). Evolving a self-repairing, self-regulating French flag organism. In Lecture Notes in Computer Science 3102 (GECCO June 2004) (pp. 129-139).
25. Nijhout, F. (1990). Metaphors and the role of genes in development. Bioessays, 12(9), 441-446.
26. Osada, R., Funkhouser, T., Chazelle, B., & Dobkins, D. (2002). Shape distributions. ACM Transactions on Graphics, 21(4), 807-832.
27. Quick, T., Nehaniv, C., Dautenhahn, K., & Roberts, G. (2003). Evolving embodied genetic regulatory network-driven control systems. In Proceedings of the European Conference on Artificial Life (ECAL'03) (pp. 266-277). Berlin: Springer.
28. Stanley, K. O., & Miikkulainen, R. (2003). A taxonomy for artificial embryogeny. Artificial Life, 9, 93-130.
29. Streichert, F., Spieth, C., Ulmer, H., & Zell, A. (2003). Evolving the ability of limited growth and self-repair for artificial embryos. In Advances in Artificial Life: Proceedings of the 7th European Conference on Artificial Life (ECAL) (pp. 289-298). Berlin: Springer-Verlag.
30. Taylor, T. (2004). A genetic regulatory network-inspired real-time controller for a group of underwater robots. In Intelligent Autonomous Systems, 8, 403-412. Amsterdam: IOS Press.
31. Tsikolia, N. (2006). The role and limits of a gradient-based explanation of morphogenesis: A theoretical consideration. International Journal of Developmental Biology, 50, 333-340.
32. von Bertalanffy, L. (1957). Quantitative laws in metabolism and growth. Quarterly Review of Biology, 32, 217-231.
33. Waddington, C. H. (1957). The strategy of the genes. London: George Allen & Unwin.
34. Wagner, A. (2005). Robustness and evolvability in living systems. Princeton, NJ: Princeton University Press.
35. Weinberg, R. A. (2007). The biology of cancer. New York: Garland Science.
36. West, G. B., Brown, J. H., & Enquist, B. J. (1997). A general model for the origin of allometric scaling laws in biology. Science, 276, 122-126.