The Laws of Natural Deduction in Inference by DNA Computer

Joint Authors

Sosik, P.
Rogowski, Łukasz

Source

The Scientific World Journal

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