Titlebook: Computation in Cells and Tissues; Perspectives and Too Ray Paton,Hamid Bolouri,Richard Tateson Book 2004 Springer-Verlag Berlin Heidelberg

内向者

https://doi.org/10.1007/978-3-319-11994-6cess during which up to 95% of the original sequence is discarded. The exact mechanism by which genes are unscrambled is not yet fully understood. We first describe experimental observations that have at least suggested possible mechanisms. We then describe two different models of the process. We co

丰富

抚慰

FACET

Cells in Telecommunications,ryos point to new design methods which add depth to the established, and also biologically inspired, techniques of evolutionary optimisation. Genetic control pathways in bacteria inspire implicit learning techniques which allow individual ‘cells’ in simulation to discover adaptive behaviour without

watertight,

Symbiogenesis as a Machine Learning Mechanism,ic gas regimes’ and hence that the association represents a more stable state for the partners. This general result is then exploited within a machine learning architecture to improve its performance in non-Markov problem domains. That is, we show how symbiogenetic mechanisms found at the cellular l

效果

adulterant

Embryonics and Immunotronics: Biologically Inspired Computer Science Systems,t and create new approaches to the development of reliable hardware systems. The final part of the article suggests a combined architecture that would have the characteristics and advantages of both Embryonics and immunotronics.

acheon

小口啜饮

A Model of Bacterial Adaptability Based on Multiple Scales of Interaction : COSMIC,hat data are static. The aim of this study is to answer some of the questions regarding bacterial evolution and the role played by genetic events using an evolving multicellular and multispecies model that builds up from the scale of the genome to include the proteome and the environment in which th

束以马具

Spatial Patterning in Explicitly Cellular Environments: Activity-Regulated Juxtacrine Signalling,earity of the signalling, such juxtacrine networks can exhibit dynamics that are quite different to those in networks of cells coupled by linear diffusion. Two simple cases are discussed here, in which receptor activation either diminishes or enhances the signalling ability of a cell. In the former