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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Cardona, M., Colomer, M.A., Miró, J., Zaragoza, A.: A step towards DNA computation model (submitted, 2006)
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)
Häggström, O.: Finite Markov Chains and Algorithmic Applications. London Mathematical Society. Cambridge University Press, Cambridge (2003)
Nelson, R.: Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling. Springer, New York (1995)
Shiryayev, A.N.: Probability. In: GTM 1995. Springer, Heidelberg (1984)
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)
Păun, G.: Membrane Computing. An Introduction. Springer, Berlin (2002)
Păun, G., Rozenberg, G.: A guide to membrane computing. Theoretical Computer Science 287, 73–100 (2002)
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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
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