Download Advances in Artificial Life. Darwin Meets von Neumann: 10th by Shelly X. Wu, Wolfgang Banzhaf (auth.), George Kampis, PDF

By Shelly X. Wu, Wolfgang Banzhaf (auth.), George Kampis, István Karsai, Eörs Szathmáry (eds.)

The two-volume set LNAI 5777 and LNAI 5778 constitutes the completely refereed post-conference complaints of the tenth ecu convention, ECAl 2009, held in Budapest, Hungary, in September 2009. The 141 revised complete papers awarded have been conscientiously reviewed and chosen from161 submissions. The papers are equipped in topical sections on evolutionary developmental biology and undefined, evolutionary robotics, protocells and prebiotic chemistry, structures biology, synthetic chemistry and neuroscience, team choice, ecosystems and evolution, algorithms and evolutionary computation, philosophy and humanities, optimization, motion, and agent connectivity, and swarm intelligence.

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Extra resources for Advances in Artificial Life. Darwin Meets von Neumann: 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers, Part II

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How neutral networks influence evolvability. Complex 7, 19–33 (2001) 6. : Continuity in evolution: on the nature of transitions. Science 280, 1451–1455 (1998) 7. : Shaping Space: the Possible and the Attainable in RNA Genotype-phenotype Mapping. J. Theor. Biol. 194, 491–515 (1998) 8. : Description of Organic Reactions Based on Imaginary Transition Structures. J. Chem. Inf. Comput. Sci. 26, 205–212 (1986) 9. : The Vienna RNA websuit. Nucl. Acids Res. 36, W70–W74 (2008) 10. : Evolving genetic regulatory networks using an artificial genome.

In this case, we used five mutually-exclusive logic operations: not, nand, and, orn, or. For the first experiment in this set, we rewarded all five logic operations equally with a task bonus value of 2. The deme fitness function was set to the number of unique tasks performed plus 1. The best demes varied between 4 and 5 tasks, whereas the average deme consistently performed between 3 and 4 tasks. Thus, this technique was successful in producing division of labor. J. Goldsby et al. Next we examined whether division of labor occurred when the tasks were complex and their rewards were unequal.

The evolutionary origin of complex features. Nature 423, 139–144 (2003) 12. : Harnessing digital evolution. IEEE Computer 41(1) (2008) 13. : Division of labor in a group of robots inspired by ants foraging behavior. ACM Transactions on Autonomous and Adaptive Systems (TAAS) (2006) 14. : Design of evolvable computer languages. IEEE Transactions in Evolutionary Computation 6, 420–424 (2002) 15. : There is nothing wrong with inclusive fitness. Trends in Ecology and Evolution 21, 599–600 (2006) A Sequence-to-Function Map for Ribozyme-Catalyzed Metabolisms Alexander Ullrich1 and Christoph Flamm2 1 University of Leipzig Chair for Bioinformatics H¨ artelstr.

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