Open AccessIndividual‐based modelling of bacterial ecologies and evolution
Author(s) -
Vlachos C.,
Gregory R.,
Paton R. C.,
Saunders J. R.,
Wu Q. H.
Publication year - 2004
Publication title -
comparative and functional genomics
Language(s) - English
Resource type - Journals
eISSN - 1532-6268
pISSN - 1531-6912
DOI - 10.1002/cfg.368
Subject(s) - evolvability , computer science , computational model , interactivity , artificial intelligence , machine learning , world wide web , evolutionary biology , biology
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. Copyright © 2004 John Wiley & Sons, Ltd.