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https://doi.org/10.31855/bdb16...
Article . 2021 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC BY NC SA
Data sources: Datacite
DBLP
Article . 2021
Data sources: DBLP
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Multiway Turing Machines

Authors: Stephen Wolfram;

Multiway Turing Machines

Abstract

Multiway Turing machines (also known as nondeterministic Turing machines or NDTMs) with explicit, simple rules are studied. Even very simple rules are found to generate complex behavior, characterized by complex multiway graphs, that can be visualized in multispace that combines "tape" and branchial space. The threshold for complex behavior appears to be machines with just s = 1 head states, k = 2 tape colors and p = 3 possible cases, and such machines may potentially be universal. Other characteristics of multiway Turing machines are also studied, including causal invariance, cyclic tapes and generalized busy beaver problems. Multiway Turing machines provide minimal examples of a variety of issues encountered in both concurrent computing and the theory of observers in quantum mechanics, especially in our recent models of physics.

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Computational Complexity, Discrete Mathematics (cs.DM), Computational Complexity (cs.CC), Computer Science - Discrete Mathematics, Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green