  We introduce the perceptron Turing machine and show how it can be used to
create a system of neuroevolution. Advantages of this approach include
automatic scaling of solutions to larger problem sizes, the ability to
experiment with hand-coded solutions, and an enhanced potential for
understanding evolved solutions. Hand-coded solutions may be implemented in the
low-level language of Turing machines, which is the genotype used in
neuroevolution, but a high-level language called Lopro is introduced to make
the job easier.
