Refining Mark Burgin’s Case against the Church–Turing Thesis

The outputs of a Turing machine are not revealed for inputs on which the machine fails to halt. Why is an observer not allowed to see the generated output symbols as the machine operates? Building on the pioneering work of Mark Burgin, we introduce an extension of the Turing machine model with a visible output tape. As a subtle refinement to Burgin’s theory, we stipulate that the outputted symbols cannot be overwritten: at step i, the content of the output tape is a prefix of the content at step j, where i<j. Our Refined Burgin Machines (RBMs) compute more functions than Turing machines, but fewer than Burgin’s simple inductive Turing machines. We argue that RBMs more closely align with both human and electronic computers than Turing machines do. Consequently, RBMs challenge the dominance of Turing machines in computer science and beyond.

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Publication Details

Journal
Philosophies
Published
2024-08-12
DOI
https://doi.org/10.3390/philosophies9040122
Citations
1
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.36
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article

Refining Mark Burgin’s Case against the Church–Turing Thesis

Edgar G. Daylight
1 citations
Philosophies
Computability, Logic, AI Algorithms
0.36
article

Refining Mark Burgin’s Case against the Church–Turing Thesis

Edgar G. Daylight
article en
1 citations

Abstract

The outputs of a Turing machine are not revealed for inputs on which the machine fails to halt. Why is an observer not allowed to see the generated output symbols as the machine operates? Building on the pioneering work of Mark Burgin, we introduce an extension of the Turing machine model with a visible output tape. As a subtle refinement to Burgin’s theory, we stipulate that the outputted symbols cannot be overwritten: at step i, the content of the output tape is a prefix of the content at step j, where i<j. Our Refined Burgin Machines (RBMs) compute more functions than Turing machines, but fewer than Burgin’s simple inductive Turing machines. We argue that RBMs more closely align with both human and electronic computers than Turing machines do. Consequently, RBMs challenge the dominance of Turing machines in computer science and beyond.

PhilosophiesVol. 9(4)
KU Leuven (BE)
Openalex Percentile: Top 37%
Computability, Logic, AI Algorithms
0.36
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