Artificial Life X: Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living SystemsLuis Mateus Rocha Proceedings from the Tenth International Conference on Artificial Life, marking two decades of interdisciplinary research in this growing scientific community.Artificial Life is an interdisciplinary effort to investigate the fundamental properties of living systems through the simulation and synthesis of life-like processes in artificial media. The field brings a powerful set of tools to the study of how high-level behavior can arise in systems governed by simple rules of interaction.This tenth volume marks two decades of research in this interdisciplinary scientific community, a period marked by vast advances in the life sciences. The field has contributed fundamentally to our understanding of life itself through computer models, and has led to novel solutions to complex real-world problems--from disease prevention to stock market prediction--across high technology and human society. The proceedings of the biennial A-life conference--which has grown over the years from a small workshop in Santa Fe to a major international meeting--reflect the increasing importance of the work to all areas of contemporary science. |
Contents
How Scalefree Typebased Networks Emerge from Instancebased Dynamics | 8 |
Evolving Biological Clocks using Genetic Regulatory Networks | 15 |
Evolution of Repressilators Using a Biologicallymotivated Model of Gene | 22 |
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ABMGE active actuators adaptive agents angle artificial artificial chemistry average Avida behavior biological cell cellular coevolution complex connections correlation corresponding creatures crossover cube deflection described developmental diffusion distance distribution dynamics editors effects encoding entropy environment equation evolution evolutionary algorithm Evolutionary Computation Evolutionary Robotics experiments Figure fitness function fitness landscape genes genetic genetic algorithm genome genotype graph grid heterochrony increase individual initial input interaction iteration joint lineage maximum measure mechanism modular modules molecules motor mutation neural networks neurons nodes noise optimal organisms output parameters patterns performance phage phase phenotype pleiotropy population position problem produced programmed death protein random randomly regulatory networks replication RNA editing s-bot selection self-organization sensor sequence servo shown signal simulation Snakebot spatial strategy string structure swarm-bot target area tested tion traits transcription factors variables whisker Π Π Π