By André Stauffer, Joël Rossier (auth.), George Kampis, István Karsai, Eörs Szathmáry (eds.)
The two-volume set LNAI 5777 and LNAI 5778 constitutes the completely refereed post-conference court cases of the tenth ecu convention, ECAl 2009, held in Budapest, Hungary, in September 2009. The 141 revised complete papers awarded have been rigorously reviewed and chosen from161 submissions. The papers are prepared in topical sections on evolutionary developmental biology and undefined, evolutionary robotics, protocells and prebiotic chemistry, structures biology, synthetic chemistry and neuroscience, staff choice, ecosystems and evolution, algorithms and evolutionary computation, philosophy and humanities, optimization, motion, and agent connectivity, and swarm intelligence.
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Additional info for Advances in Artificial Life. Darwin Meets von Neumann: 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers, Part I
An exception has been the work by Bongard and Paul , which studied the correlation between morphological symmetry and locomotive eﬃciency. G. Kampis, I. Karsai, and E. ): ECAL 2009, Part I, LNCS 5777, pp. 27–34, 2011. c Springer-Verlag Berlin Heidelberg 2011 28 L. Schramm, Y. Jin, and B. Sendhoﬀ Most recently, increasing eﬀects have been made to relate the research in brain-body co-evolution to biological principles. In , it is found that bilaterally symmetric body plan and neural architecture are favored in selection in a brain-body co-evolution of an elongated organism.
Repeated structure and dissociation of genotypic and phenotypic complexity in artiﬁcial ontogeny. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). : Artiﬁcial life models of neural development. In: Press, A. : The self-made puzzle: Integrating self-assembly and pattern formation under non-random genetic regulation. : Epigenetic tracking, a method to generate arbitrary shapes by using evodevo techniques. : A comparison between cellular encoding and direct encoding for genetic neural networks.
Coghill, G. ) ICONIP 2008. LNCS, vol. 5506, pp. 216–223. Springer, Heidelberg (2009) 13. : Emergence of feedback in artiﬁcial gene regulatory networks. In: Proc. of CEC, pp. 867–874 (2007) 14. : A gene regulatory model for the development of primitive nervous systems. , Coghill, G. ) ICONIP 2008. LNCS, vol. 5506, pp. 48–55. Springer, Heidelberg (2009) 15. : BREVE simulation environment. org/ 16. : Simuun: A simulation environment for undulatory locomotion. pl Abstract. We present a model of three-dimensional artificial embryogenesis in which a multicellular embryo develops controlled by a continuous regulatory network encoded in a linear genome.
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