Title
An evolutionary approach to synthetic biology: Zen and the art of creating life
Abstract
Our concepts of biology, evolution, and complexity are constrained by having observed only a single instance of life, life on Earth. A truly comparative biology is needed to extend these concepts. Because we cannot observe life on other planets, we are left with the alternative of creating artificial life forms on Earth. I will discuss the approach of inoculating evolution by natural selection into the medium of the digital computer. This is not a physical/chemical medium, it is a logical/informational medium. Thus these new instances of evolution are not subject to the same physical laws as organic evolution (e.g., the laws of thermodynamics), and therefore exist in what amounts to another universe, governed by the“physical laws” of the logic of the computer. This exercise gives us a broader perspective on what evolution is and what it does. An evolutionary approach to synthetic biology consists of inoculating the process of evolution by natural selection into an artificial medium. Evolution is then allowed to find the natural forms of living organisms in the artificial medium. These are not models of life, but independent instances of life. This essay is intended to communicate a way of thinking about synthetic biology that leads to a particular approach: to understand and respect the natural form of the artificial medium, to facilitate the process of evolution in generating forms that are adapted to the medium, and to let evolution find forms and processes that naturally exploit the possibilities inherent in the medium. Examples are cited of synthetic biology embedded in the computational medium, where in addition to being an exercise in experimental comparative evolutionary biology, it is also a possible means of harnessing the evolutionary process for the production of complex computer software.
Year
DOI
Venue
1994
10.1162/artl.1993.1.179
Advances in evolutionary computing
Keywords
Field
DocType
new google,function drawchart,load alert2,var data,function loadalert2,synthetic biology function settab,function letemknow,evolutionary approach,load alert,function loadalert,function testthis,ecology,parallel computation,evolution,artificial life,complexity,natural selection,evolutionary biology,parallel computer,thermodynamics,synthetic biology
Artificial life,Evolutionary algorithm,Computer science,Evolutionary computation,Evolution strategy,Artificial intelligence,Physical law,Artificial creation,Laws of thermodynamics,Synthetic biology
Journal
Volume
Issue
ISSN
1
1-2
1064-5462
ISBN
Citations 
PageRank 
3-540-43330-9
54
11.56
References 
Authors
6
1
Name
Order
Citations
PageRank
Thomas S. Ray112328.09