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Generating the n-tuples of Natural Numbers by Enzymatic Numerical P System

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Recent Advances in Data Science (IDMB 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1099))

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Abstract

Numerical P systems (NP systems) are a class of computing models inspired by both the cell structure and economics. Enzymatic numerical P systems (ENP systems) are a variant of NP systems, which were successfully applied in autonomous robot control. In this work, we design an algorithm using enzymatic numerical P systems to generate all the n-tuples of natural numbers in a well specified order. Specifically, we improve previously known results on generating all the n-tuples of natural numbers. Based on this method, we prove that a numerical P system with one membrane, and the production function used with polynomials of degree 1 with at most 2 variables can reach universality, which optimizes the previous known results. The results also give a positive answer to a problem formulated in [Fundamenta Informaticae, 2006, 73(1): 213-227].

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (61872325, 61876047, 61872399); the Fundamental Research Funds for the Central Universities (2652019028) and Youth Program of National Natural Science Foundation of China (61802009).

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Correspondence to Yunyun Niu .

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Zhang, Z., Kong, Y., Chen, Z., Niu, Y., Ma, M. (2020). Generating the n-tuples of Natural Numbers by Enzymatic Numerical P System. In: Han, H., Wei, T., Liu, W., Han, F. (eds) Recent Advances in Data Science. IDMB 2019. Communications in Computer and Information Science, vol 1099. Springer, Singapore. https://doi.org/10.1007/978-981-15-8760-3_17

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  • DOI: https://doi.org/10.1007/978-981-15-8760-3_17

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  • Print ISBN: 978-981-15-8759-7

  • Online ISBN: 978-981-15-8760-3

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