Some properties of probabilistic one-sided sticker systems

Sticker systems have been introduced by Kari in 1998as an abstract computational model which uses the Watson-Crick complementary principle of DNA molecules: starting from the incomplete double stranded sequences and iteratively using sticking operations, complete double stranded sequences are obtain...

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Main Authors: Selvarajoo, Mathuri, Fong, Wan Heng, Sarmin, Nor Haniza, Turaev, Sherzod
Format: Conference or Workshop Item
Published: 2014
Subjects:
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author Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
author_facet Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
author_sort Selvarajoo, Mathuri
collection ePrints
description Sticker systems have been introduced by Kari in 1998as an abstract computational model which uses the Watson-Crick complementary principle of DNA molecules: starting from the incomplete double stranded sequences and iteratively using sticking operations, complete double stranded sequences are obtained. It is known that sticker systems with finite sets of axioms and sticker rules generate only regular languages. Hence, different types of restrictions have been considered to increase the computational power of sticker systems. Recently, probabilistic sticker systems have been introduced where the probabilities are initially associated with the axioms, and the probability of a generated string is computed by multiplying the probabilities of all occurrences of the initial strings in the computation of the string. In this paper, some properties of probabilistic one-sided sticker systems, which are special types of probabilistic sticker systems, are investigated. We prove that probability restriction on one-sided sticker systems can increase the computational power of the languages generated.
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spelling utm.eprints-385562017-08-23T06:24:35Z http://eprints.utm.my/38556/ Some properties of probabilistic one-sided sticker systems Selvarajoo, Mathuri Fong, Wan Heng Sarmin, Nor Haniza Turaev, Sherzod Q Science Sticker systems have been introduced by Kari in 1998as an abstract computational model which uses the Watson-Crick complementary principle of DNA molecules: starting from the incomplete double stranded sequences and iteratively using sticking operations, complete double stranded sequences are obtained. It is known that sticker systems with finite sets of axioms and sticker rules generate only regular languages. Hence, different types of restrictions have been considered to increase the computational power of sticker systems. Recently, probabilistic sticker systems have been introduced where the probabilities are initially associated with the axioms, and the probability of a generated string is computed by multiplying the probabilities of all occurrences of the initial strings in the computation of the string. In this paper, some properties of probabilistic one-sided sticker systems, which are special types of probabilistic sticker systems, are investigated. We prove that probability restriction on one-sided sticker systems can increase the computational power of the languages generated. 2014-03-29 Conference or Workshop Item PeerReviewed Selvarajoo, Mathuri and Fong, Wan Heng and Sarmin, Nor Haniza and Turaev, Sherzod (2014) Some properties of probabilistic one-sided sticker systems. In: Proceedings of The 3rd International Conference on Biotechnology Engineering 2013, 2013. http://www.aensiweb.com/old/aeb/2014/717-724.pdf
spellingShingle Q Science
Selvarajoo, Mathuri
Fong, Wan Heng
Sarmin, Nor Haniza
Turaev, Sherzod
Some properties of probabilistic one-sided sticker systems
title Some properties of probabilistic one-sided sticker systems
title_full Some properties of probabilistic one-sided sticker systems
title_fullStr Some properties of probabilistic one-sided sticker systems
title_full_unstemmed Some properties of probabilistic one-sided sticker systems
title_short Some properties of probabilistic one-sided sticker systems
title_sort some properties of probabilistic one sided sticker systems
topic Q Science
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