- author = "Hugo {de Garis}",
- title = "Evolving a Replicator The Genetic Programming of Self Reproduction in Cellular Automata",
- booktitle = "ECAL-93 Self organisation and life: from simple rules to global complexity",
- year = "1993",
- pages = "274--284",
- 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",
- month = "24--26 " # may,
- organisation = "Centre for Non-Linear Phenomena and Complex Systems",
- email = "degaris@hip.att.co.jp",
- keywords = "genetic algorithms, genetic programming, nonotechnology, nanots, artificial life, Qantum-electronic computers, Darwin machines",
-
URL = "
http://www.iss.whu.edu.cn/degaris/papers/ECAL93.pdf",
-
URL = "
http://citeseer.ist.psu.edu/521663.html",
-
URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.9218&rank=7",
-
URL = "http://alife.org/paper/ecal93/evolving-replicator-genetic-programming-self-reproduction-cellular-automata",
-
URL = "http://alife.org/sites/default/files/collections/ECAL93-0274-0284-De-Garis.pdf",
- size = "11 pages",
- abstract = "This paper presents the results of an investigative study into the evolution of cellular automata replicators using Genetic Programming (GP) techniques (i.e. using Genetic Algorithms (GAs) to build/evolve complex systems). There are at least two reasons why such a study might be considered interesting. One reason is to explore how difficult the evolution of (CA) replicators might be, a topic of importance for Artificial Life. Another reason is the possibility that the evolution of CAs, if successful, may provide tools for next-generation quantum-electronic computers (e.g. using quantum dot arrays) which may use CAs as their operating principle.",
- notes = "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)",
-
notes = "There seems to be some doubt as to wether ECAL-93 was
published. This copy from attendee. May 2014: see
CD-ROM version on alife.org/paper/ecal93 web pages.
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.
At one point erroneously ascribed to ECAL-2013 \cite{deGaris:2013:ECAL}.",
