Computational embryology: past, present and future
Advances in evolutionary computing
Achieving a simple development model for 3D shapes: are chemicals necessary?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
Biologically inspired evolutionary development
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Developmental effects on tuneable fitness landscapes
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
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Two variants of biologically inspired cell model, namely eukaryotic (containing a nucleus) and prokaryotic (without a nucleus) are compared in this research. The comparison investigates their relative evolvability and ability to integrate external environmental stimulus to direct protein pattern formation within a single cell. To the authors' knowledge there has been no reported work comparing the relative performance of eukaryotic and prokaryotic artificial cells models. We propose a novel system of protein translocation for eukaryotic cells based on the process of nucleocytoplasmic transport observed in biological cells. Results demonstrate that eukaryotic cell models exhibit a higher degree of sensitivity to environmental variations compared with prokaryotes. Based on these results we conclude that the process of transporting proteins to and from the nucleus plays a key role in shaping eukaryotic cell plasticity.