Individual-based modelling of bacterial ecologies and evolution.
Comp Funct Genomics
; 5(1): 100-4, 2004.
Article
in En
| MEDLINE
| ID: mdl-18629041
ABSTRACT
This paper presents two approaches to the individual-based modelling of bacterial ecologies and evolution using computational tools. The first approach is a fine-grained model that is based on networks of interactivity between computational objects representing genes and proteins. The second approach is a coarser-grained, agent-based model, which is designed to explore the evolvability of adaptive behavioural strategies in artificial bacteria represented by learning classifier systems. The structure and implementation of these computational models is discussed, and some results from simulation experiments are presented. Finally, the potential applications of the proposed models to the solution of real-world computational problems, and their use in improving our understanding of the mechanisms of evolution, are briefly outlined.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Comp Funct Genomics
Year:
2004
Document type:
Article
Affiliation country:
United kingdom