Evolving a Replicator The Genetic Programming of Self
Reproduction in Cellular Automata
H. de Garis. ECAL-93 Self organisation and life: from simple rules
to global complexity, page 274--284. CP 231, Universite Libre de Bruxelles, Bld. du
Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
Phone 32-2-650.5776 Email sgross@ulb.ac.be, (24--26 May 1993)
Abstract
Presents results from the evolution of cellular
automata replicators using GP (ie using GAs to
build/evolve systems. 1: How difficult is the evolution
of CA replicators (intersity to Artificial Life), 2:
Evolving CAs may provide tools for quantum-electronic
computers (eg quantum dot arrays)
CP 231, Universite Libre de Bruxelles, Bld. du
Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
Phone 32-2-650.5776 Email sgross@ulb.ac.be
booktitle
ECAL-93 Self organisation and life: from simple rules
to global complexity
year
1993
month
24--26 May
pages
274--284
organisation
Centre for Non-Linear Phenomena and Complex Systems
size
11 pages
email
degaris@hip.att.co.jp
notes
There seems to be some doubt as to wether ECAL-93 was
published. This copy from attendee.
GA chromosome is fixed (1024 * 4 CA state values)
encoding the CA state transition rules.
"Evolving CA replicators is much harder than
initially thought"
Now working on CA networks cf Von Neuman, Codd,
Burks.
%0 Conference Paper
%1 degaris:1993:erGPsrca
%A de Garis, Hugo
%B ECAL-93 Self organisation and life: from simple rules
to global complexity
%C CP 231, Universite Libre de Bruxelles, Bld. du
Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
Phone 32-2-650.5776 Email sgross@ulb.ac.be
%D 1993
%K Darwin Qantum-electronic algorithms, artificial computers, genetic life, machines nanots, nonotechnology, programming,
%P 274--284
%T Evolving a Replicator The Genetic Programming of Self
Reproduction in Cellular Automata
%U http://citeseer.ist.psu.edu/521663.html
%X Presents results from the evolution of cellular
automata replicators using GP (ie using GAs to
build/evolve systems. 1: How difficult is the evolution
of CA replicators (intersity to Artificial Life), 2:
Evolving CAs may provide tools for quantum-electronic
computers (eg quantum dot arrays)
@inproceedings{degaris:1993:erGPsrca,
abstract = {Presents results from the evolution of cellular
automata replicators using GP (ie using GAs to
build/evolve systems. 1: How difficult is the evolution
of CA replicators (intersity to Artificial Life), 2:
Evolving CAs may provide tools for quantum-electronic
computers (eg quantum dot arrays)},
added-at = {2008-06-19T17:35:00.000+0200},
address = {CP 231, Universite Libre de Bruxelles, Bld. du
Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
Phone 32-2-650.5776 Email sgross@ulb.ac.be},
author = {{de Garis}, Hugo},
biburl = {https://www.bibsonomy.org/bibtex/250f7bc2541940e8224c4fc89e94e89ec/brazovayeye},
booktitle = {ECAL-93 Self organisation and life: from simple rules
to global complexity},
email = {degaris@hip.att.co.jp},
interhash = {6a1fa8fb52233eaa5c9572d8b94d866f},
intrahash = {50f7bc2541940e8224c4fc89e94e89ec},
keywords = {Darwin Qantum-electronic algorithms, artificial computers, genetic life, machines nanots, nonotechnology, programming,},
month = {24--26 May},
notes = {There seems to be some doubt as to wether ECAL-93 was
published. This copy from attendee.
GA chromosome is fixed (1024 * 4 CA state values)
encoding the CA state transition rules.
{"}Evolving CA replicators is much harder than
initially thought{"}
Now working on CA networks cf Von Neuman, Codd,
Burks.},
organisation = {Centre for Non-Linear Phenomena and Complex Systems},
pages = {274--284},
size = {11 pages},
timestamp = {2008-06-19T17:38:33.000+0200},
title = {Evolving a Replicator The Genetic Programming of Self
Reproduction in Cellular Automata},
url = {http://citeseer.ist.psu.edu/521663.html},
year = 1993
}