Article
P Systems-Based Computing Polynomials With Integer Coefficients: Design and Formal Verification
Author/s | Zhu, Ming
Zhang, Gexiang Yang, Qiang Rong, Haina Yuan, Weitao Pérez Jiménez, Mario de Jesús |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2018 |
Deposit Date | 2021-07-21 |
Published in |
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Abstract | Automatic design of mechanical procedures
solving abstract problems is a relevant scientific challenge.
In particular, automatic design of membranes systems performing
some prefixed tasks is an important and useful
research ... Automatic design of mechanical procedures solving abstract problems is a relevant scientific challenge. In particular, automatic design of membranes systems performing some prefixed tasks is an important and useful research topic in the area of Natural Computing. In this context, deterministic membrane systems were designed in order to capture the values of polynomials with natural numbers coefficients. Following that work, this paper extends the previous result to polynomials with integer numbers coefficients.Specifically,a deterministic transitionP system using priorities in the weak interpretation, associated with an arbitrary such kind polynomial, is presented. The configuration of the unique computation of the system will be encoded by means of two distinguished objects, the values of the polynomial for natural numbers. The descriptive computational resources required by the designed membrane system are also analyzed. |
Funding agencies | Scientific Research Fund of Sichuan Provincial Science and Technology Department National Natural Science Foundation of China Sichuan Science and Technology Program |
Project ID. | 2015JY0257
2017FZ0010 61672437 61702428 2018GZ0185 2018GZ0085 2017GZ0159 |
Citation | Zhu, M., Zhang, G., Yang, Q., Rong, H., Yuan, W. y Pérez Jiménez, M.d.J. (2018). P Systems-Based Computing Polynomials With Integer Coefficients: Design and Formal Verification. IEEE Transactions on NanoBioscience, 17 (3), 272-280. |
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