The generative capacity of sticker systems with weights

DNA computing involves computation models which use the recombination behavior of DNA molecules as the computation rules. This idea was successfully applied by Adleman in his biological experiment in order to show the solvability of the Hamiltonian path problem for larger instances. In 1998, a DNA b...

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Main Authors: Yee, Sian Gang, Wan, Heng Fong, Sarmin, Nor Haniza, Turaev, Sherzod
Format: Proceeding Paper
Language:English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/42433/
http://irep.iium.edu.my/42433/1/The_Generative_Capacity_-_ICCEMS.pdf
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author Yee, Sian Gang
Wan, Heng Fong
Sarmin, Nor Haniza
Turaev, Sherzod
author_facet Yee, Sian Gang
Wan, Heng Fong
Sarmin, Nor Haniza
Turaev, Sherzod
author_sort Yee, Sian Gang
building IIUM Repository
collection Online Access
description DNA computing involves computation models which use the recombination behavior of DNA molecules as the computation rules. This idea was successfully applied by Adleman in his biological experiment in order to show the solvability of the Hamiltonian path problem for larger instances. In 1998, a DNA based computation model, called sticker systems, which is an abstraction of the computations using the recombination behavior as in Adleman's experiment was proposed. In 2013, a new variant of sticker system using weights was introduced, namely the weighted sticker system. In this paper, the generative capacity for several variants of bounded delay and nonrestrictive weighted sticker systems are investigated. The relation between families of languages generated by several variants of weighted sticker systems and weighted grammars are also presented.
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format Proceeding Paper
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institution International Islamic University Malaysia
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language English
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spelling iium-424332015-04-20T02:43:20Z http://irep.iium.edu.my/42433/ The generative capacity of sticker systems with weights Yee, Sian Gang Wan, Heng Fong Sarmin, Nor Haniza Turaev, Sherzod QA Mathematics QA75 Electronic computers. Computer science DNA computing involves computation models which use the recombination behavior of DNA molecules as the computation rules. This idea was successfully applied by Adleman in his biological experiment in order to show the solvability of the Hamiltonian path problem for larger instances. In 1998, a DNA based computation model, called sticker systems, which is an abstraction of the computations using the recombination behavior as in Adleman's experiment was proposed. In 2013, a new variant of sticker system using weights was introduced, namely the weighted sticker system. In this paper, the generative capacity for several variants of bounded delay and nonrestrictive weighted sticker systems are investigated. The relation between families of languages generated by several variants of weighted sticker systems and weighted grammars are also presented. 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/42433/1/The_Generative_Capacity_-_ICCEMS.pdf Yee, Sian Gang and Wan, Heng Fong and Sarmin, Nor Haniza and Turaev, Sherzod (2014) The generative capacity of sticker systems with weights. In: The 3rd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS 2014), 4-5 Dec 2014, Langkawi, Kedah. http://www.iccems.com/cms/
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Yee, Sian Gang
Wan, Heng Fong
Sarmin, Nor Haniza
Turaev, Sherzod
The generative capacity of sticker systems with weights
title The generative capacity of sticker systems with weights
title_full The generative capacity of sticker systems with weights
title_fullStr The generative capacity of sticker systems with weights
title_full_unstemmed The generative capacity of sticker systems with weights
title_short The generative capacity of sticker systems with weights
title_sort generative capacity of sticker systems with weights
topic QA Mathematics
QA75 Electronic computers. Computer science
url http://irep.iium.edu.my/42433/
http://irep.iium.edu.my/42433/
http://irep.iium.edu.my/42433/1/The_Generative_Capacity_-_ICCEMS.pdf