LAPSE:2023.25002
Published Article
LAPSE:2023.25002
An In Vivo Proposal of Cell Computing Inspired by Membrane Computing
March 28, 2023
Intractable problems are challenging and not uncommon in Computer Science. The computing generation we are living in forces us to look for an alternative way of computing, as current computers are facing limitations when dealing with complex problems and bigger input data. Physics and Biology offer great alternatives to solve these problems that traditional computers cannot. Models like Quantum Computing and cell computing are emerging as possible solutions to the current problems the conventional computers are facing. This proposal describes an in vivo framework inspired by membrane computing and based on alternative computational frameworks that have been proven to be theoretically correct such as chemical reaction series. The abilities of a cell as a computational unit make this proposal a starting point in the creation of feasible potential frameworks to enhance the performance of applications in different disciplines such as Biology, BioMedicine, Computer networks, and Social Sciences, by accelerating drastically the way information is processed by conventional architectures and possibly achieving results that presently are not possible due to the limitations of the current computing paradigm. This paper introduces an in vivo solution that uses the principles of membrane computing and it can produce non-deterministic outputs.
Keywords
bioinformatics, membrane computing, unconventional computing
Suggested Citation
Arteta Albert A, Díaz-Flores E, López LFDM, Gómez Blas N. An In Vivo Proposal of Cell Computing Inspired by Membrane Computing. (2023). LAPSE:2023.25002
Author Affiliations
Arteta Albert A: College of Arts and Sciences, Troy University, Troy, AL 36082, USA [ORCID]
Díaz-Flores E: Department of Pediatrics/Oncology, University of California, San Francisco School of Medicine, San Francisco, CA 94158, USA
López LFDM: Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, 28031 Madrid, Spain [ORCID]
Gómez Blas N: Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, 28031 Madrid, Spain [ORCID]
Journal Name
Processes
Volume
9
Issue
3
First Page
511
Year
2021
Publication Date
2021-03-12
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9030511, Publication Type: Journal Article
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LAPSE:2023.25002
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doi:10.3390/pr9030511
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Mar 28, 2023
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CC BY 4.0
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