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The Laws of Natural Deduction in Inference by DNA Computer
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Rogowski, Łukasz& Sosik, P.. 2014. The Laws of Natural Deduction in Inference by DNA Computer. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051257
Modern Language Association (MLA)
Rogowski, Łukasz& Sosik, P.. The Laws of Natural Deduction in Inference by DNA Computer. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051257
American Medical Association (AMA)
Rogowski, Łukasz& Sosik, P.. The Laws of Natural Deduction in Inference by DNA Computer. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051257
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051257