Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1134/S0361768814060115 | Programming and Computing Software |
Keywords | Field | DocType |
fine-grained structure,artificial multicellular organism,artificial biological cell,parallel substitution algorithm,self-replicating loop,cellular automata | Genome,Cellular automaton,Spatial model,Parallel algorithm,Computer science,Theoretical computer science,Biological cell | Journal |
Volume | Issue | ISSN |
40 | 6 | 1608-3261 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. M. Achasova | 1 | 4 | 2.34 |