Skip to main content
SpringerLink
Log in

Unconventional Computing: Do We Dream Too Much?

  • Conference paper
  • First Online:
Evolving Computability (CiE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9136))

Included in the following conference series:

  • 631 Accesses

Abstract

After briefly mentioning the motivation and the “dreams” of unconventional computing (with an eye on natural computing, especially on bio-inspired computing), we ask ourselves whether these “dreams” are realistic, and end with a couple of related research issues from the membrane computing area.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Adleman, L.M.: Molecular computation of solutions to combinatorial problems. Science 226, 1021–1024 (1994)

    Article  Google Scholar 

  2. Benenson, Y., Shapiro, E., Gill, B., Ben-Dor, U., Adar, R.: Molecular computer. A ‘Smart Drug’ in a test tube. In: Ferretti, C., Mauri, G., Zandron, C. (eds.) Proceedings of Tenth DNA Computing Conference, vol. 49, Milano, 2004, (abstract of invited talk), Univ. of Milano-Bicocca (2004)

    Google Scholar 

  3. Calude, C., Păun, G.: Bio-steps beyond turing. BioSystems 77, 175–194 (2004)

    Article  Google Scholar 

  4. Conrad, M.: The price of programmability. In: Herken, R. (ed.) The Universal Turing Machine: A Half-Century Survey, pp. 285–307. Kammerer and Unverzagt, Hamburg (1988)

    Google Scholar 

  5. Cook, S.: The importance of the P versus NP question. J. ACM 50(1), 27–29 (2003)

    Article  MathSciNet  Google Scholar 

  6. Copeland, B.J.: Hypercomputation. Mind. Mach. 12(4), 461–502 (2002)

    Article  MATH  Google Scholar 

  7. Davis, M.: The myth of hypercomputation. In: Teuscher, C. (ed.) Alan Turing: The Life and Legacy of a Great Thinker, pp. 195–212. Springer, Berlin (2004)

    Chapter  Google Scholar 

  8. Davis, M.: Why there is no such discipline as hypercomputation. Appl. Math. Comput. 178, 4–7 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  9. Gandy, R.: Church’s thesis and principles for mechanisms. In: Barwise, J., et al. (eds.) The Kleene Symposium, pp. 123–148. North-Holland, Amsterdam (1980)

    Chapter  Google Scholar 

  10. Gruska, J.: Quantum Computing. McGraw-Hill, Maidenhead (1999)

    Google Scholar 

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

    MATH  MathSciNet  Google Scholar 

  12. Kitano, H.: Systems biology. a brief overview. Science 295, 1662–1664 (2002)

    Article  Google Scholar 

  13. Leporati, A., Mauri, G., Porreca, A.E., Zandron, C.: Enzymatic numerical P systems using elementary arithmetic operations. In: Alhazov, A., Cojocaru, S., Gheorghe, M., Rogozhin, Y., Rozenberg, G., Salomaa, A. (eds.) CMC 2013. LNCS, vol. 8340, pp. 249–264. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  14. Manca, V.: Infobiotics: Information in Biotic Systems. Springer, Berlin (2013)

    Book  Google Scholar 

  15. Papadimitriou, C.H.: Computational Complexity. Addison-Wesley, Reading (1994)

    MATH  Google Scholar 

  16. Pavel, A.B., Vasile, C.I., Dumitrache, I.: Robot localization implemented with enzymatic numerical p systems. In: Prescott, T.J., Lepora, N.F., Mura, A., Verschure, P.F.M.J. (eds.) Living Machines 2012. LNCS, vol. 7375, pp. 204–215. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  17. Păun, G.: From cells to (silicon) computers, and back. In: Cooper, B.S., Lowe, B., Sorbi, A. (eds.) New Computational Paradigms. Changing Conceptions of what is Computable, pp. 343–371. Springer, New York (2008)

    Chapter  Google Scholar 

  18. Păun, G.: Towards “fypercomputations” (in membrane computing). Essays dedicated to jürgen dassow on the occasion of his 65th birthday. In: Bordihn, H., Kutrib, M., Truthe, B. (eds.) Languages Alive. LNCS, vol. 7300, pp. 207–220. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. Păun, G.: Looking for Computers in the Biological Cell. After Twenty Years. The Publishing House of the Romanian Academy, Bucharest (2014). (in Romanian)

    Google Scholar 

  20. Păun, G., Păun, R.: Membrane computing and economics: numerical P systems. Fundamenta Informaticae 73, 213–227 (2006)

    MATH  MathSciNet  Google Scholar 

  21. Păun, G., Rozenberg, G., Salomaa, A. (eds.): The Oxford Handbook of Membrane Computing. Oxford University Press, New York (2010)

    MATH  Google Scholar 

  22. Rozenberg, G., Bäck, T., Kok, J.N. (eds.): Handbook of Natural Computing. Springer, Berlin (2012)

    MATH  Google Scholar 

  23. Sosík, P., Valik, O.: On evolutionary lineages of membrane systems. In: Freund, R., Păun, G., Rozenberg, G., Salomaa, A. (eds.) WMC 2005. LNCS, vol. 3850, pp. 67–78. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  24. Syropoulos, A.: Hypercomputation: Computing Beyond the Church-Turing Barrier. Springer, Berlin (2008)

    Book  Google Scholar 

  25. Wolkenhauer, O.: Systems biology: the reincarnation of systems theory applied in biology? Brief. Bioinform. 2(3), 258–270 (2001)

    Article  Google Scholar 

  26. Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1, 67 (1997)

    Article  Google Scholar 

  27. Zenil, H. (ed.): A Computable Universe. Understanding and Exploring Nature as Computation. World Scientific, Singapore (2013)

    MATH  Google Scholar 

  28. The P Systems Website. http://ppage.psystems.eu

Download references

Author information

Authors and Affiliations

  1. Institute of Mathematics of the Romanian Academy, PO Box 1-764, 014700, Bucureşti, Romania

    Gheorghe Păun

Authors
  1. Gheorghe Păun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gheorghe Păun .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Swansea University, Swansea, United Kingdom

    Arnold Beckmann

  2. University of Bucharest, Bucharest, Romania

    Victor Mitrana

  3. Sofia University, Sofia, Bulgaria

    Mariya Soskova

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Păun, G. (2015). Unconventional Computing: Do We Dream Too Much?. In: Beckmann, A., Mitrana, V., Soskova, M. (eds) Evolving Computability. CiE 2015. Lecture Notes in Computer Science(), vol 9136. Springer, Cham. https://doi.org/10.1007/978-3-319-20028-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20028-6_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20027-9

  • Online ISBN: 978-3-319-20028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation