A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
| Hi-index | 0.00 |
The biological regulatory networks present common features because they have evolved until obtaining robust architecture of interactions, able to resist to perturbations like changes in boundary conditions like those induced by microRNAs or in updating rules deciding what genes are co-expressed. We present here some examples of these types of robustness by successively studying the boundary and updating influence on the core genes expression in morphogenesis regulatory networks controlling i) cell cycle in mammals, ii) feathers morphogenesis & iii) gastrulation in chicken, and iv) dorso-ventral stripes patterning in Drosophila.