Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2076967 | Biosystems | 2007 | 11 Pages |
Abstract
Under the framework of network artificial chemistry (NAC), a method to construct a phenotypic machine from genotypic information is proposed. The genotype is expressed as a sequence of nodes (a node chain) with symbol data. According to an implemented algorithm, a chain is agglomerated, tangled, and finally folded into a node cluster that works as a control-flow machine in the network. Two examples of control-flow clusters, splitase and replicase, are presented and their functionality is demonstrated. Several meanings and future research directions are discussed.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Modelling and Simulation
Authors
Hideaki Suzuki,