What can we learn from universal Turing machines?
Maurice Margenstern

TL;DR
This paper introduces a pedagogical universal Turing machine to explore how its encoding and operation can shed light on biological phenomena, aiming to bridge computational theory and biology.
Contribution
It presents a new pedagogical universal Turing machine designed to analyze potential biological parallels and insights.
Findings
Insights into biological phenomena from Turing machine encoding
Potential parallels between computation and biological processes
Framework for studying biological systems through universal Turing machines
Abstract
In the present paper, we construct what we call a pedagogical universal Turing machine. We try to understand which comparisons with biological phenomena can be deduced from its encoding and from its working.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
