Skip to main content
Log in

Turing completeness of water computing

  • Regular Paper
  • Published:
Journal of Membrane Computing Aims and scope Submit manuscript

Abstract

We further develop water computing as a variant of P systems. We propose an improved modular design, which duplicates the main water flows by associated control flows. We first solve the three open problems of the previous design by demonstrating: how functions can be stacked without a combinatorial explosion of valves; how termination of the system can be detected; and how to reset the system. We then prove that the system is Turing complete by modelling the construction of \(\mu\)-recursive functions. The new system is based on directed acyclic graphs, where tanks are nodes and pipes are arcs; there are no loops anymore, waterfalls strictly in a ‘top down’ direction. Finally, we demonstrate how our water tank system can be viewed as a restricted version of cP systems. We conclude with a list of further challenging problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Maass, W., Schnitger, G., & Szemerédi, E. (1987). “Two tapes are better than one for off-line Turing machines,” in Proceedings of the nineteenth annual ACM symposium on Theory of computing, pp. 94–100.

  2. Mahatantila, K., Chandrajith, R., Jayasena, H., & Ranawana, K. (2008). Spatial and temporal changes of hydrogeochemistry in ancient tank cascade systems in Sri Lanka: evidence for a constructed wetland. Water and Environment Journal, 22(1), 17–24.

    Article  Google Scholar 

  3. Emch, A. (1901). Two hydraulic methods to extract the \(n\)th root of any number. The American Mathematical Monthly, 8(1), 10–12.

    Article  MathSciNet  Google Scholar 

  4. Trogemann, G., Nitussov, A.Y., & Ernst, W. (2001). Computing in Russia: the history of computer devices and information technology revealed. Vieweg Braunschweig.

  5. Phillips, A. W. (1950). Mechanical models in economic dynamics. London School of Economics and Political Science.

  6. Ryder, W.H. (2009). A System Dynamics View of the Phillips Machine. In 27th International Conference of the System Dynamics Society.

  7. Moylan, M. J. (1968). Fluid logic in simple terms. Transatlantic Arts.

  8. Arulanandham, J. J., Calude, C. S., & Dinneen, M. J. (2003). Solving SAT with Bilateral Computing. Romanian Journal of Information Science and Technology, 6(1–2), 9–18.

    Google Scholar 

  9. Ishdorj, T.-O., Ochirbat, O., & Naimannaran, C. (2020). A \(\mu\)-fluidic biochip design for spiking neural P systems. International Journal of Unconventional Computing 15, 1.

    Google Scholar 

  10. Adamatzky, A. (2019) A brief history of liquid computers. Philosophical Transactions of the Royal Society B 374, 1774.

    Article  Google Scholar 

  11. Taberlet, N., Marsal, Q., Ferrand, J., & Plihon, N. (2018). Hydraulic logic gates: Building a digital water computer. European Journal of Physics, 39(2), 025801.

    Article  Google Scholar 

  12. Hinze, T., Happe, H., Henderson, A., & Nicolescu, R. (2020). Membrane computing with water. Journal of Membrane Computing, 2(2), 121–136.

    Article  MathSciNet  Google Scholar 

  13. Păun, G. (2000). Computing with membranes. Journal of Computer and System Sciences, 61(1), 108–143.

    Article  MathSciNet  Google Scholar 

  14. Sosík, P. (2019). P systems attacking hard problems beyond NP: A survey. Journal of Membrane Computing, 1(3), 198–208.

    Article  MathSciNet  Google Scholar 

  15. Valencia-Cabrera, L., Pérez-Hurtado, I., & Martínez-del Amor, M. Á. (2020). Simulation challenges in membrane computing. Journal of Membrane Computing, pp. 1–11.

  16. Alhazov, A., Freund, R., & Ivanov, S. (2021). P systems with limited number of objects. Journal of Membrane Computing, 3(1), 1–9.

    Article  MathSciNet  Google Scholar 

  17. Nicolescu, R., Henderson, A. (2018). An introduction to cP Systems. In Enjoying Natural Computing: Essays Dedicated to Mario de Jesús Pérez-Jiménez on the Occasion of His 70th Birthday (C. Graciani, A. Riscos-Núñez, G. Păun, G. Rozenberg, and A. Salomaa, eds.), vol. 11270 of Lecture Notes in Computer Science, pp. 204–227, Springer, Berlin

  18. Zappa, F., Esculapio, S . (2017).Microcontrollers. Hardware and Firmware for 8-bit and 32-bit devices. LIGHTNING SOURCE Incorporated.

  19. Calude, C., & Sântean, L. (1990). On a theorem of Günter Asser. Mathematical Logic Quarterly, 36(2), 143–147.

    Article  Google Scholar 

  20. Robinson, J. (1950). General recursive functions. Proceedings of the American Mathematical Society, 1(6), 703–718.

    Article  MathSciNet  Google Scholar 

  21. Severin, D. E., et al. (2008). Unary primitive recursive functions. Journal of Symbolic Logic, 73(4), 1122–1138.

    Article  MathSciNet  Google Scholar 

  22. Calude, C. (2011). Theories of computational complexity. Elsevier, Amsterdam

    MATH  Google Scholar 

  23. Ionescu, M., Păun, G., & Yokomori, T. (2006). Spiking neural P systems. Fundamenta Informaticae 71(2), 279–308.

    MathSciNet  MATH  Google Scholar 

  24. Martín-Vide, C., Păun, G., Pazos, J., & Rodríguez-Patón, A. (2003). Tissue P systems. Theoretical Computer Science, 296(2), 295–326.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alec Henderson.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Example trace of controlled subtraction

Example trace of controlled subtraction

Here we present a trace of saturation subtraction for both the tank system presented in Figure 4, and cP rules in Table 9 (see Figs. 15, 16, 17, 18, 19, 20).

Fig. 15
figure 15

The initial state of controlled subtraction of \(3\ominus 2\)

Fig. 16
figure 16

The first step of controlled subtraction of \(3-2\)

Fig. 17
figure 17

The second step of controlled subtraction of \(3\ominus 2\)

Fig. 18
figure 18

The third step of controlled subtraction of \(3\ominus 2\)

Fig. 19
figure 19

The fourth step of controlled subtraction of \(3\ominus 2\)

Fig. 20
figure 20

The last step of controlled subtraction of \(3\ominus 2\)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Henderson, A., Nicolescu, R., Dinneen, M.J. et al. Turing completeness of water computing. J Membr Comput 3, 182–193 (2021). https://doi.org/10.1007/s41965-021-00081-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41965-021-00081-3

Keywords

Navigation