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The Laws of Natural Deduction in Inference by DNA Computer

We present a DNA-based implementation of reaction system with molecules encoding elements of the propositional logic, that is, propositions and formulas. The protocol can perform inference steps using, for example, modus ponens and modus tollens rules and de Morgan's laws. The set of the implem...

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Detalles Bibliográficos
Autores principales: Rogowski, Łukasz, Sosík, Petr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106178/
https://www.ncbi.nlm.nih.gov/pubmed/25133261
http://dx.doi.org/10.1155/2014/834237
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author Rogowski, Łukasz
Sosík, Petr
author_facet Rogowski, Łukasz
Sosík, Petr
author_sort Rogowski, Łukasz
collection PubMed
description We present a DNA-based implementation of reaction system with molecules encoding elements of the propositional logic, that is, propositions and formulas. The protocol can perform inference steps using, for example, modus ponens and modus tollens rules and de Morgan's laws. The set of the implemented operations allows for inference of formulas using the laws of natural deduction. The system can also detect whether a certain proposition a can be deduced from the basic facts and given rules. The whole protocol is fully autonomous; that is, after introducing the initial set of molecules, no human assistance is needed. Only one restriction enzyme is used throughout the inference process. Unlike some other similar implementations, our improved design allows representing simultaneously a fact a and its negation ~a, including special reactions to detect the inconsistency, that is, a simultaneous occurrence of a fact and its negation. An analysis of correctness, completeness, and complexity is included.
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spelling pubmed-41061782014-08-17 The Laws of Natural Deduction in Inference by DNA Computer Rogowski, Łukasz Sosík, Petr ScientificWorldJournal Research Article We present a DNA-based implementation of reaction system with molecules encoding elements of the propositional logic, that is, propositions and formulas. The protocol can perform inference steps using, for example, modus ponens and modus tollens rules and de Morgan's laws. The set of the implemented operations allows for inference of formulas using the laws of natural deduction. The system can also detect whether a certain proposition a can be deduced from the basic facts and given rules. The whole protocol is fully autonomous; that is, after introducing the initial set of molecules, no human assistance is needed. Only one restriction enzyme is used throughout the inference process. Unlike some other similar implementations, our improved design allows representing simultaneously a fact a and its negation ~a, including special reactions to detect the inconsistency, that is, a simultaneous occurrence of a fact and its negation. An analysis of correctness, completeness, and complexity is included. Hindawi Publishing Corporation 2014 2014-07-03 /pmc/articles/PMC4106178/ /pubmed/25133261 http://dx.doi.org/10.1155/2014/834237 Text en Copyright © 2014 Ł. Rogowski and P. Sosík. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rogowski, Łukasz
Sosík, Petr
The Laws of Natural Deduction in Inference by DNA Computer
title The Laws of Natural Deduction in Inference by DNA Computer
title_full The Laws of Natural Deduction in Inference by DNA Computer
title_fullStr The Laws of Natural Deduction in Inference by DNA Computer
title_full_unstemmed The Laws of Natural Deduction in Inference by DNA Computer
title_short The Laws of Natural Deduction in Inference by DNA Computer
title_sort laws of natural deduction in inference by dna computer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106178/
https://www.ncbi.nlm.nih.gov/pubmed/25133261
http://dx.doi.org/10.1155/2014/834237
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