Abstract
The potentiality of using a common developmental mapping to develop not a specific, but different classes of architectures (i.e., species), holding different structural and/or computational phenotypic properties is an active area of research in the field of bio-inspired systems. To be able to develop such species, there is a need to understand the governing properties and the constraints involved for their development. In this work, we investigate how common developmental genomes influence evolution and how they push the developmental process in directions where it would have been impossible to achieve with ordinary genomes. Relations between mutation and evolution along with a comprehensive study of developmental mechanisms involved in development are worked out. The results are promising as they unveil that common developmental genomes perform better in more complex and random environments.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wallace, A.: Evolution: A Developmental Approach. Wiley-Blackwell, Oxford (2010)
Antonakopoulos, K., Tufte, G.: On the evolvability of different computational architectures using a common developmental genome. In: Rosa, A., Dourado, A., Madani, K., Filipe, J., Kacprzyk J. (eds.) IJCCI 2012, pp. 122–129. SciTePress Publishing (2012)
Antonakopoulos, K., Tufte, G.: Is common developmental genome a panacea towards more complex problems? In: 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI2012), pp. 55–61 (2012)
Arthur, W.: Developmental drive: an important determinant of the direction of phenotypic evolution. Evol. Dev. 3(4), 271–278 (2001)
Antonakopoulos, K., Tufte, G.: A common genetic representation capable of developing distinct computational architectures. In: IEEE Congress on Evolutionary Computation (CEC2011), pp. 1264–1271 (2011)
Wilkins, J.: What is a species? essences and generation. Theor. Biosci. 129(2), 141–148 (2010)
Lindenmayer, A., Prusinkiewicz, P.: Developmental models of multicellular organisms: a computer graphics perspective. In: Langton, C.G. (ed.) Proceedings of ALife. pp. 221–249. Addison-Wesley Publishing (1989)
Stauffer, A., Sipper, M.: Modeling cellular development using L-systems. In: Sipper, M., Mange, D., Pérez-Uribe, A. (eds.) ICES 1998. LNCS, vol. 1478, pp. 196–205. Springer, Heidelberg (1998)
Tufte, G., Haddow, P.C.: Achieving environmental tolerance through the initiation and exploitation of external information. In: IEEE Congress on Evolutionary Computation (CEC2007), pp. 2485–2492 (2007)
Federici, D.: Evolving a neurocontroller through a process of embryogeny. In: Eigth International Conference on Adaptive Behaviour, pp. 373–384 (2004)
Gordon, T.G.W., Bentley, P.J.: Development brings scalability to hardware evolution. In: 2005 NASA/DoD Conference on Evolvable Hardware, pp. 272–279 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Antonakopoulos, K., Tufte, G. (2014). Investigation of Developmental Mechanisms in Common Developmental Genomes. In: Di Caro, G., Theraulaz, G. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-319-06944-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-06944-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06943-2
Online ISBN: 978-3-319-06944-9
eBook Packages: Computer ScienceComputer Science (R0)