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An Implementation of Elementary Arithmetic with Virus Machine

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Enjoying Natural Computing

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11270))

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Abstract

In recent years, the popularity of natural computing has been on the increase. Recently, it has inspired a novel biological computational model, called virus machine, which incorporates concepts from virology and theoretical computer science. The virus machine computational paradigm is based on the manner in which viruses replicate and transmit from one host cell to another. It is represented as a heterogeneous network consisting of three subnetworks: a virus transmission network, an instruction transfer network, and an instruction-channel control network. In this paper, elementary arithmetic operation systems are built based on virus machine. Specifically, adder, subtractor, multiplier, and divider are constructed using virus machines. This work can be viewed as a first step towards a “CPU” in wet.

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Acknowledgements

The work was supported by the National Natural Science Foundation of China (Grant Nos. 61472333, 61772441, 61472335), Project of marine economic innovation and development in Xiamen (No. 16PFW034SF02), Natural Science Foundation of the Higher Education Institutions of Fujian Province (No. JZ160400), Natural Science Foundation of Fujian Province (No. 2017J01099), President Fund of Xiamen University (No. 20720170054), Project TIN2016-81079-R, (MINECO AEI/FEDER, Spain-EU) and InGEMICS-CM project (B2017/BMD-3691, FSE/FEDER, Comunidad de Madrid-EU). X. Zeng is supported by Juan de la Cierva position (code: IJCI-2015-26991).

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Yan, X., Liu, X., Zeng, X., Rodríguez-Patón, A. (2018). An Implementation of Elementary Arithmetic with Virus Machine. In: Graciani, C., Riscos-Núñez, A., Păun, G., Rozenberg, G., Salomaa, A. (eds) Enjoying Natural Computing. Lecture Notes in Computer Science(), vol 11270. Springer, Cham. https://doi.org/10.1007/978-3-030-00265-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-00265-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00264-0

  • Online ISBN: 978-3-030-00265-7

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