Feynman on Artificial Intelligence and Machine Learning, with Updates
Artificial Intelligence
2022-09-02 v1 Machine Learning
Neural and Evolutionary Computing
Abstract
I present my recollections of Richard Feynman's mid-1980s interest in artificial intelligence and neural networks, set in the technical context of the physics-related approaches to neural networks of that time. I attempt to evaluate his ideas in the light of the substantial advances in the field since then, and vice versa. There are aspects of Feynman's interests that I think have been largely achieved and others that remain excitingly open, notably in computational science, and potentially including the revival of symbolic methods therein.
Cite
@article{arxiv.2209.00083,
title = {Feynman on Artificial Intelligence and Machine Learning, with Updates},
author = {Eric Mjolsness},
journal= {arXiv preprint arXiv:2209.00083},
year = {2022}
}
Comments
17 pages. To appear in Feynman Lectures on Computation, 2nd edition, published by Taylor & Francis Group, edited by Anthony J. G. Hey