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Abstract: As the fields of Evolutionary Computation and Artificial Neural Networks have shown, the use of mechanisms found in nature can lead to solutions to complex technical problems that by far outperform any man-made approaches. This work explores a different and new approach to adopting problem solving methods found in nature. It uses the natural cell control mechanism called Gene Regulation that according to modern molecular biology is the basis of the cooperation between and differentiation into... (Update)
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BibTeX entry: (Update)
@mastersthesis{ schmutter-ooop,
author = "Peter Schmutter",
title = "Object-Oriented Ontogenetic Programming: Breeding Computer Programs that
Work Like Multicellular Creatures",
school = "University of Dortmund, Germany",
year = "2002",
month = "June",
type = "Diploma thesis",
email = "email@schmutter.de",
keywords = "Object-Oriented Ontogenetic Programming, Genetic Programming,
Multicellular Programming, Swarm-Programming, Evolution of Distributed Intelligence,
Gene Regulation, Embryology, Amorphous Computing, Multiagent Systems",
url = "citeseer.ist.psu.edu/schmutter02objectoriented.html",
url = "http://www.ooop.org/publications/thesis/" }
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http://swarm.cs.virginia.edu
http://www.janet.ucla
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