Quantitative Biology


Life as Evolving Software

Authors: Gregory Chaitin

In this paper we present an information-theoretic analysis of Darwin's theory of evolution, modeled as a hill-climbing algorithm on a fitness landscape. Our space of possible organisms consists of computer programs, which are subjected to random mutations. We study the random walk of increasing fitness made by a single mutating organism. In two different models we are able to show that evolution will occur and to characterize the rate of evolutionary progress, i.e., the rate of biological creativity.

Comments: 23 Pages.

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Submission history

[v1] 2012-02-24 14:46:48

Unique-IP document downloads: 712 times

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