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BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.The categories and topics listed below are examples: the editors will be happy to comment on the relevance of other topics.Molecular EvolutionSelf-organizing and self-replicating systemsOrigins and evolution of the genetic mechanismBiological Information ProcessingMolecular recognitionCellular controlNeuromolecular computingBiological adaptabilityMolecular computing technologiesEvolutionary SystemsStochastic evolutionary algorithmsEvolutionary optimizationSimulation of genetic and ecological systemsApplications (neural nets. machine learning, robotics)
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