An arithmetic operation P system based on symmetric ternary system.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 25 07 2024
accepted: 13 10 2024
medline: 2 11 2024
pubmed: 2 11 2024
entrez: 1 11 2024
Statut: epublish

Résumé

Nowadays, electronic computers use a "binary" numbering system, as opposed to "ternary" logic, which is closer to the way the human brain thinks. In this paper, the symmetric ternary system is applied to membrane computing for the first time. By combining the symmetric ternary system with membrane computing, this paper provides a more suitable arithmetic operation method for bio-computers, which breaks through the limitations of the traditional binary system in complex operations, and has a great potential for application in artificial intelligence and automatic learning in particular. The P System we designed include: Π+ for symmetric ternary addition, Π* for symmetric ternary multiplication, and Π/ for symmetric ternary division. The operation process of each P System was explained through examples, and their feasibility and effectiveness were verified through simulation software, UPSimulator. The system we designed can be further applied to symmetric ternary applications.

Identifiants

pubmed: 39485751
doi: 10.1371/journal.pone.0312778
pii: PONE-D-24-31068
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0312778

Informations de copyright

Copyright: © 2024 Nan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Hai Nan (H)

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, Chongqing, China.

Jie Zhang (J)

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, Chongqing, China.

Ping Guo (P)

School of Artificial Intelligence and Big Data, Chongqing Metropolitan College of Science and Technology, Chongqing, Chongqing, China.

Jiqiao Jiang (J)

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, Chongqing, China.

Xu Zhang (X)

School of Big Data and Computer Science Engineering, Chongqing College of Mobile Communication, Chongqing, Chongqing, China.

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Classifications MeSH