Probabilistic Shoenfield Machines

Fuente: arXiv
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Hauptverfasser: Bujok, Maksymilian, Mata, Adam
Format: Preprint
Veröffentlicht: 2024
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author Bujok, Maksymilian
Mata, Adam
author_facet Bujok, Maksymilian
Mata, Adam
contents The article provides the theoretical framework of Probabilistic Shoenfield Machines (PSMs), an extension of the classical Shoenfield Machine that models randomness in the computation process. PSMs are introduced in contexts where deterministic computation is insufficient, such as randomized algorithms. By allowing transitions to multiple possible states with certain probabilities, PSMs can solve problems and make decisions based on probabilistic outcomes, thus expanding the variety of possible computations. We provide an overview of PSMs, detailing their formal definitions, the computation mechanism, and their equivalence with Non-deterministic Shoenfield Machines (NSMs)
format Preprint
id arxiv_https___arxiv_org_abs_2407_05777
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Probabilistic Shoenfield Machines
Bujok, Maksymilian
Mata, Adam
Symbolic Computation
Logic in Computer Science
F.1.1, F.1.2, F.2.0
F.4.1
The article provides the theoretical framework of Probabilistic Shoenfield Machines (PSMs), an extension of the classical Shoenfield Machine that models randomness in the computation process. PSMs are introduced in contexts where deterministic computation is insufficient, such as randomized algorithms. By allowing transitions to multiple possible states with certain probabilities, PSMs can solve problems and make decisions based on probabilistic outcomes, thus expanding the variety of possible computations. We provide an overview of PSMs, detailing their formal definitions, the computation mechanism, and their equivalence with Non-deterministic Shoenfield Machines (NSMs)
title Probabilistic Shoenfield Machines
topic Symbolic Computation
Logic in Computer Science
F.1.1, F.1.2, F.2.0
F.4.1
url https://arxiv.org/abs/2407.05777