An animat's cell doctrine

ECAL 2011: The 11th European Conference on Artificial Life

Volumn , Issue , 2011, Pages

  Schramm, Lisa ^a   Sendhoff, Bernhard ^b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY; MORPHOLOGY;

ANIMATS; ARTIFICIAL CELL; BASIC BUILDING BLOCK; CENTRAL PATTERN GENERATOR; COMPUTATIONAL ENVIRONMENTS; DEVELOPMENTAL MODELS; DYNAMIC CONTROLS; GENE REGULATORY NETWORKS; PHYSICS SIMULATION; SIMULATION ENVIRONMENT;

ARTIFICIAL CELLS;

EID: 85153117163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.7551/978-0-262-29714-1-ch112     Document Type: Conference Paper

References (34)

1. Andersen, T., Newman, R., and Otter, T. (2009). Shape homeostasis in virtual embryos. Artificial Life, 15(2):161-183.
2. Beer, R. D. (2009). Beyond Control: The Dynamics of Brain-Body-Environment Interaction in Motor Systems, pages 7-24. Springer.
3. Bongard, J. (2003). Incremental Approaches to the Combined Evolution of a Robot's Body and Brain. PhD thesis, University of Birmingham.
4. Bongard, J. C. and Paul, C. (2000). Investigating morphological symmetry and locomotive efficiency using virtual embodied evolution. In Proceedings of the SAB 2000, pages 420-429.
5. Chung, S.-J. and Slotine, J.-J. (2010). On synchronization of coupled hopf-kuramoto oscillators with phase delays. arXiv:1004.5366v1.
6. de Jong, H. (2002). Modeling and simulation of genetic regulatory systems: A literature review. Journal of Computational Biology, 9(1):67-103.
7. Doursat, R. (2009). Facilitating evolutionary innovation by developmental modularity and variability. In Proc. of the GECCO 09, pages 683-690.
8. Eggenberger Hotz, P., Gómez, G., and Pfeifer, R. (2003). Evolving the morphology of a neural network for controlling a foveating retina - and its test on a real robot. In Proc. of the ALife VIII, pages 243-251.
9. Harding, S. and Banzhaf, W. (2008). Artificial development. In Würz, R. W., editor, Organic Computing, chapter 9, pages 201-219. Springer.
10. Hornby, G. and Pollack, J. (2001). Evolving L-systems to generate virtual creatures. Computers & Graphics, 25:1040-1048.
11. Ijspeert, A. J. and Kodjabachian, J. (1999). Evolution and development of a central pattern generator for the swimming of a lamprey. Artificial Life, 5(3):247-269.
12. Jin, Y., Schramm, L., and Sendhoff, B. (2008). A gene regulatory model for the development of primitive nervous systems. In Proc. of the ICONIP 2008, pages 48-55.
13. Joachimczak, M. and Wròbel, B. (2009). Evolution of the morphology and patterning of artificial embryos: scaling the tricolour problem to the third dimension. In Proc. of the ECAL 2009.
14. Jones, B., Jin, Y., Sendhoff, B., and Yao, X. (2008). Evolving functional symmetry in a three dimensional model of an elongated organism. In Proc. of the ALife X, pages 305-312.
15. Jones, B., Soltoggio, A., Yao, X., and Sendhoff, B. (2011). Evolution of neural symmetry and its coupled alignment to body plan morphology. In Proc. of the GECCO 2011.
16. Kitano, H. (1995). A simple model of neurogenesis and cell differentiation based on evolutionary large-scale chaos. Artificial Life, 2(1):79-99.
17. Kowaliw, T., Grogono, P., and Kharma, N. (2004). Bluenome: A novel developmental model of artificial morphogenesis. In Proceedings of GECCO 04, pages 93-104.
18. Mazzapioda, M., Cangelosi, A., and Nolfi, S. (2009). Co-evolving morphology and control: A distributed approach. In Proc. of the CEC 2009, pages 2217-2224.
19. McGeer, T. (1990). Passive dynamic walking. International Journal of Robotics Research, 9(2):62-82.
20. Meng, Y., Zhang, Y., Sampath, A., Jin, Y., and Sendhoff, B. (2011). Cross-ball: A new morphogenetic self-reconfigurable modular robot. In Proc of the ICRA 2011.
21. Miconi, T. and Channon, A. (2006). An improved system for artificial creatures evolution. In Proceedings of Artificial Life X, pages 255-261.
22. Murata, S. and Kurokawa, H. (2007). Self-reconfigurable robots. Robotics & Automation Magazine, IEEE, 14:71-78.
23. Murray, J. D. (2008). Mathematical Biology I: An Introduction. Springer, third edition.
24. Oros, N., Steuber, V., Davey, N., Cañamero, L., and Adams, R. (2009). Evolution of bilateral symmetry in agents controlled by spiking neural networks. In IEEE Symposium on Artificial Life, pages 116-123.
25. Pfeifer, R., Lungarella, M., and Iida, F. (2007). Self-organization, embodiment, and biologically inspired robotics. Science, 318(5853):1088-1093.
26. Schramm, L., Jin, Y., and Sendhoff, B. (2009). Emerged coupling of motor control and morphological development in evolution of multi-cellular animats. In Proc. of the ECAL 2009.
27. Schramm, L., Martins, V. V., Jin, Y., and Sendhoff, B. (2010). Analysis of gene regulatory network motifs in evolutionary development of multicellular organisms. In Proc. of the ALife XII, pages 133-140.
28. Sfakiotakis, M. and Tsakiris, D. P. (2006). Simuun: A simulation environment for undulatory locomotion. International Journal of Modelling and Simulation, 26(4):350-358.
29. Sims, K. (1994). Evolving virtual creatures. In Proceedings SIG-GRAPH, pages 15-22.
30. Spector, L., Klein, J., and Feinstein, M. (2007). Division blocks and the open-ended evolution of development, form, and behavior. In Proceedings of GECCO, pages 316-323.
31. Stanley, K. O. and Miikkulainen, R. (2003). A taxonomy for artificial embryogeny. Artificial Life, 9(2):93-130.
32. Steiner, T., Jin, Y., and Sendhoff, B. (2008). A cellular model for the evolutionary development of lightweight material with an inner structure. In Proc. of the GECCO'08, pages 851-858.
33. Steiner, T., Trommler, J., Brenn, M., Jin, Y., and Sendhoff, B. (2009). Global shape with morphogen gradients and motile polarized cells. In Proceedings of the 2009 Congress on Evolutionary Computation, pages 2225-2232.
34. Verdaasdonk, B. W., Koopman, B. F. J. M., and Helm, F. C. V. D. (2006). Energy efficient and robust rhythmic limb movement by central pattern generators. Neural Networks, 19(4):388-400.