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Authors: Konstantinos Antonakopoulos and Gunnar Tufte

Affiliation: Norwegian University of Science and Technology, Norway

ISBN: 978-989-8565-33-4

Keyword(s): Genetic Representation, Cellular Automata, Boolean Network, L-systems, Evolvability.

Abstract: Artificial organisms comprise a method that enables the construction of complex systems with structural and/or computational properties. In this work we investigate whether a common developmental genome can favor the evolvability of different computational architectures. This is rather interesting, especially when limited computational resources is the case. The commonly evolved genome showed ability to boost the evolvability of the different computational architectures requiring fewer resources and in some cases, finding better solutions.

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Paper citation in several formats:
Antonakopoulos, K. and Tufte, G. (2012). On the Evolvability of Different Computational Architectures using a Common Developmental Genome.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 122-129. DOI: 10.5220/0004176501220129

@conference{ecta12,
author={Konstantinos Antonakopoulos. and Gunnar Tufte.},
title={On the Evolvability of Different Computational Architectures using a Common Developmental Genome},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)},
year={2012},
pages={122-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004176501220129},
isbn={978-989-8565-33-4},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)
TI - On the Evolvability of Different Computational Architectures using a Common Developmental Genome
SN - 978-989-8565-33-4
AU - Antonakopoulos, K.
AU - Tufte, G.
PY - 2012
SP - 122
EP - 129
DO - 10.5220/0004176501220129

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