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Article: New complex systems research reported from M. Joachimczak and co-authors.
- Article from:
- Robotics & Machine Learning
- Article date:
- August 24, 2009
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According to recent research from Sopot, Poland, "The question of what properties of biological systems allow for efficient evolutionary search in complex fitness landscapes (evolvability) is one of the central interests both for the research in the field of evolutionary biology and artificial life. Here, we attempt to address this issue by using a model of 3D multicellular development in which cell fate is determined by differential gene expression in each cell."
"In our model, cells can vary in size and can move freely in 3D space, affected by forces of adhesion and repulsion. The development relies on an indirect mapping between the genotype and the morphology ...