Paper Info
Title
Neuroevolution with Perceptron Turing Machines.
Abstract
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.
Year
Venue
DocType
2019
arXiv: Neural and Evolutionary Computing
Journal
Volume
Citations 
PageRank 
abs/1901.11090
0
0.34
References 
Authors
2
1
Name
Order
Citations
PageRank
David Landaeta100.68