The generative capacity of probabilistic splicing systems

The concept of probabilistic splicing system was introduced as a model for stochastic processes using DNA computing techniques. In this paper we introduce splicing systems endowed with different continuous and discrete probabilistic distributions and call them as probabilistic splicing systems. We s...

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Main Authors: Selvarajoo, Mathuri, Turaev, Sherzod, Fong, Wan Heng, Sarmin, Nor Haniza
Format: Article
Language:English
Published: Natural Publishing 2015
Subjects:
Online Access:http://irep.iium.edu.my/42051/
http://irep.iium.edu.my/42051/
http://irep.iium.edu.my/42051/1/046_The_Generative_Capacity_of_Probabilistic_Splicing_Systems_%289-3_pp_1191-1198_2015%29.pdf
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spelling iium-420512016-04-01T13:09:07Z http://irep.iium.edu.my/42051/ The generative capacity of probabilistic splicing systems Selvarajoo, Mathuri Turaev, Sherzod Fong, Wan Heng Sarmin, Nor Haniza QA Mathematics QA75 Electronic computers. Computer science The concept of probabilistic splicing system was introduced as a model for stochastic processes using DNA computing techniques. In this paper we introduce splicing systems endowed with different continuous and discrete probabilistic distributions and call them as probabilistic splicing systems. We show that any continuous distribution does not increase the generative capacity of the probabilistic splicing systems with finite components, meanwhile, some discrete distributions increase their generative capacity up to context-sensitive languages. Finally, we associate certain thresholds with probabilistic splicing systems and this increases the computational power of splicing systems with finite components. Natural Publishing 2015-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/42051/1/046_The_Generative_Capacity_of_Probabilistic_Splicing_Systems_%289-3_pp_1191-1198_2015%29.pdf Selvarajoo, Mathuri and Turaev, Sherzod and Fong, Wan Heng and Sarmin, Nor Haniza (2015) The generative capacity of probabilistic splicing systems. Applied Mathematics & Information Sciences, 9 (3). pp. 1191-1198. ISSN 1935-0090 http://dx.doi.org/10.12785/amis/090311
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Selvarajoo, Mathuri
Turaev, Sherzod
Fong, Wan Heng
Sarmin, Nor Haniza
The generative capacity of probabilistic splicing systems
description The concept of probabilistic splicing system was introduced as a model for stochastic processes using DNA computing techniques. In this paper we introduce splicing systems endowed with different continuous and discrete probabilistic distributions and call them as probabilistic splicing systems. We show that any continuous distribution does not increase the generative capacity of the probabilistic splicing systems with finite components, meanwhile, some discrete distributions increase their generative capacity up to context-sensitive languages. Finally, we associate certain thresholds with probabilistic splicing systems and this increases the computational power of splicing systems with finite components.
format Article
author Selvarajoo, Mathuri
Turaev, Sherzod
Fong, Wan Heng
Sarmin, Nor Haniza
author_facet Selvarajoo, Mathuri
Turaev, Sherzod
Fong, Wan Heng
Sarmin, Nor Haniza
author_sort Selvarajoo, Mathuri
title The generative capacity of probabilistic splicing systems
title_short The generative capacity of probabilistic splicing systems
title_full The generative capacity of probabilistic splicing systems
title_fullStr The generative capacity of probabilistic splicing systems
title_full_unstemmed The generative capacity of probabilistic splicing systems
title_sort generative capacity of probabilistic splicing systems
publisher Natural Publishing
publishDate 2015
url http://irep.iium.edu.my/42051/
http://irep.iium.edu.my/42051/
http://irep.iium.edu.my/42051/1/046_The_Generative_Capacity_of_Probabilistic_Splicing_Systems_%289-3_pp_1191-1198_2015%29.pdf
first_indexed 2023-09-18T21:00:01Z
last_indexed 2023-09-18T21:00:01Z
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