Recursion and evolution: Part II
Machine Learning
2020-07-10 v1 Logic in Computer Science
Neurons and Cognition
Populations and Evolution
Abstract
We examine the question of whether it is possible for a diagonalizing system, to learn to use environmental reward and punishment as an information, in order to appropriately adapt. More specifically, we study the possiblity of such a system, to learn to use diagonalization on the basis of a rewarding function. Relevant phenomena regarding memory are also investigated.
Cite
@article{arxiv.2007.04982,
title = {Recursion and evolution: Part II},
author = {Alexandros Arvanitakis},
journal= {arXiv preprint arXiv:2007.04982},
year = {2020}
}