We expect that Genetic Self-assembly will be useful in nanotechnological and biotechnological construction of complex systems. The work points to the general utility of encoding self-assembling building blocks in biological evolution, for general problem solution.
The self assembly algorithm we employed was
deterministic and established the feasibility of inductive generalization with
genetic self assembly. We aim to extend this work to more realistic models of
self assembly, especially including erroneous assembly in a physical
environment with thermodynamic fluctuations, structures in three dimensions and
more freedom in geometrical shape space.