Abstract
Bacterial colonies are able to detect and react to changes in their environment. The distributed self-organisation of large numbers of bacteria into well-defined spatial structures is a form of computation that is deserving of further attention. In this paper we review how one particular collective response – bacterial chemotaxis – has been modelled in silico to generate novel algorithms. We describe how such models may be further extended for the purposes of directed pattern-formation in bacteria, and conclude with a discussion of some fundamental questions that we aim to address with this approach.
Original language | English |
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Pages (from-to) | 199-210 |
Number of pages | 12 |
Journal | International Journal of Unconventional Computing |
Volume | 3 |
Issue number | 3 |
Publication status | Published - 2007 |