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Classifying States of a Finite Markov Chain with Membrane Computing

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Membrane Computing (WMC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4361))

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Abstract

In this paper we present a method to classify the states of a finite Markov chain through membrane computing. A specific P system with external output is designed for each boolean matrix associated with a finite Markov chain. The computation of the system allows us to decide the convergence of the process because it determines in the environment the classification of the states (recurrent, absorbent, and transient) as well as the periods of states. The amount of resources required in the construction is polynomial in the number of states of the Markov chain.

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References

  1. Cardona, M., Colomer, M.A., Miró, J., Zaragoza, A.: A step towards DNA computation model (submitted, 2006)

    Google Scholar 

  2. Cardona, M., Colomer, M.A., Jesús Pérez-Jímenez, M., Zaragoza, A.: Handling Markov Chains with Membrane Computing. In: Calude, C.S., Dinneen, M.J., Păun, G., Rozenberg, G., Stepney, S. (eds.) UC 2006. LNCS, vol. 4135, pp. 72–85. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Häggström, O.: Finite Markov Chains and Algorithmic Applications. London Mathematical Society. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  4. Nelson, R.: Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling. Springer, New York (1995)

    MATH  Google Scholar 

  5. Shiryayev, A.N.: Probability. In: GTM 1995. Springer, Heidelberg (1984)

    Google Scholar 

  6. Păun, G.: Computing with membranes. Journal of Computer and System Sciences 61(1), 108–143 (2000); Turku Center for Computer Science-TUCS Report Nr. 208 (1998)

    Google Scholar 

  7. Păun, G.: Membrane Computing. An Introduction. Springer, Berlin (2002)

    MATH  Google Scholar 

  8. Păun, G., Rozenberg, G.: A guide to membrane computing. Theoretical Computer Science 287, 73–100 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. ISI web page: http://esi-topics.com/erf/october2003.html

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© 2006 Springer-Verlag Berlin Heidelberg

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Cardona, M., Colomer, M.A., Pérez-Jiménez, M.J., Zaragoza, A. (2006). Classifying States of a Finite Markov Chain with Membrane Computing. In: Hoogeboom, H.J., Păun, G., Rozenberg, G., Salomaa, A. (eds) Membrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11963516_17

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  • DOI: https://doi.org/10.1007/11963516_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69088-7

  • Online ISBN: 978-3-540-69090-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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