- author = "Thomas Sperl",
- title = "Taking the redpill: Artificial Evolution in native x86 systems",
- year = "2011",
- month = "8 " # may,
- bibsource = "DBLP, http://dblp.uni-trier.de",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://arxiv.org/abs/1105.1534",
- size = "21 pages",
-
abstract = "First, three successful environments for artificial
evolution in computer systems are analysed briefly. The
organism in these environment are in a virtual machine
with special chemistries. Two key-features are found to
be very robust under mutations: Non-direct addressing
and separation of instruction and argument.
In contrast, the x86 instruction set is very brittle under mutations, thus not able to achieve evolution directly. However, by making use of a special meta-language, these two key-features can be realised in a x86 system. This meta-language and its implementation is presented in chapter 2.
First experiments show very promising behaviour of the population. A statistically analyse of these population is done in chapter 3. One key-result has been found by comparison of the robustness of x86 instruction set and the meta-language: A statistical analyse of mutation densities shows that the meta-language is much more robust under mutations than the x86 instruction set.
In the end, some Open Questions are stated which should be addressed in further researches. An detailed explanation of how to run the experiment is given in the Appendix.",
- notes = "Dated October 2010. Intel 8086 Cited by \cite{Schulte:2013:ARB:2451116.2451151}.",
