Recursion, evolution and conscious self
Logic in Computer Science
2023-04-25 v4 Machine Learning
Logic
Neurons and Cognition
Populations and Evolution
Abstract
We introduce and study a learning theory which is roughly automatic, that is, it does not require but a minimum of initial programming, and is based on the potential computational phenomenon of self-reference, (i.e. the potential ability of an algorithm to have its program as an input). The conclusions agree with scientific findings in both biology and neuroscience and provide a plethora of explanations both (in conjunction with Darwinism) about evolution, as well as for the functionality and learning capabilities of human brain, (most importantly), as we perceive them in ourselves.
Cite
@article{arxiv.2001.11825,
title = {Recursion, evolution and conscious self},
author = {A. D. Arvanitakis},
journal= {arXiv preprint arXiv:2001.11825},
year = {2023}
}
Comments
The differences from the previous version are 1) An ethical statement at the end of the paper and 2) Some new references