Abstract
Two fine-grained models of artificial biological cells are presented. They can be used as elements of computing devices that mimic properties of living organisms: growth, self-reproduction, and self-healing. The models are based on the parallel substitution algorithm that is a spatial model for representing fine-grained parallel algorithms and architectures. An artificial biological cell is constructed based on a genome fed to the input tape. The result is a model of artificial biological cell that contains the phenotype as a set of fixed data and the genotype as a set of mobile data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
