Genetic self-assembly is a technique for building complex systems by self-assembly from a small set of genetically encoded types ofcomponents. One particularly important case iscircuit design, and here we have completed the full evolution of complex circuits from scratch, focusing primarily on the example of digital multipiers.
We have demonstrated the ability of genetic self-assembly to find general scalable solutions to complex tasks such asmultiplication, in contrast with earlier efforts to evolve multiplier circuits. We have analysed this ability to generalize and applied the approach to other circuit problems. Theinitial workwas based on a rather simple self-assembly algorithm in 2D and we are keen to extend this work tostochastic 3D self-assembly algorithms.