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Single-tape and multi-tape Turing machines through the lens of the Grossone methodology

Sergeyev, Yaroslav and Garro, Alfredo (2013) Single-tape and multi-tape Turing machines through the lens of the Grossone methodology. Journal of Supercomputing, 65 (2). pp. 645-663.

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Abstract

The paper investigates how the mathematical languages used to describe and to observe automatic computations influence the accuracy of the obtained results. In particular, we focus our attention on Single and Multi-tape Turing machines which are described and observed through the lens of a new mathematical language which is strongly based on three methodological ideas borrowed from Physics and applied to Mathematics, namely: the distinction between the object (we speak here about a mathematical object) of an observation and the instrument used for this observation; interrelations holding between the object and the tool used for the observation; the accuracy of the observation determined by the tool. Results of the observation executed by the traditional and new languages are compared and discussed.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Sergeyev, Yaroslavyaro@dimes.unical.it0000-0002-1429-069X
Garro, Alfredoalfredo.garro@dimes.unical.it0000-0003-0351-0869
Keywords: Theory of automatic computations, Observability of Turing machines, Relativity of mathematical languages, Infinite sequences, Infinite sets
Subjects: Specific Sciences > Cognitive Science > Computation
Specific Sciences > Computer Science
Specific Sciences > Cognitive Science > Concepts and Representations
Specific Sciences > Mathematics
Specific Sciences > Cognitive Science > Perception
General Issues > Theory/Observation
Depositing User: Prof. Yaroslav Sergeyev
Date Deposited: 30 Sep 2024 21:08
Last Modified: 30 Sep 2024 21:08
Item ID: 23935
Journal or Publication Title: Journal of Supercomputing
Publisher: Springer
Official URL: https://link.springer.com/article/10.1007/s11227-0...
DOI or Unique Handle: 10.1007/s11227-013-0894-y
Subjects: Specific Sciences > Cognitive Science > Computation
Specific Sciences > Computer Science
Specific Sciences > Cognitive Science > Concepts and Representations
Specific Sciences > Mathematics
Specific Sciences > Cognitive Science > Perception
General Issues > Theory/Observation
Date: 2013
Page Range: pp. 645-663
Volume: 65
Number: 2
URI: https://philsci-archive.pitt.edu/id/eprint/23935

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