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Simulation of Fuzzy ACSH on Membranes with Michaelis-Menten Kinetics

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Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Abstract

Various models have been used to represent natural phenomenon in order to gain insight on what stability is. A computing model called Fuzzy abstract rewriting system on multisets, close to reality is recently designed by introducing fuzziness on computation [1]. As an extension of this model a device named Fuzzy Artificial cell system with proteins on membrane is developed and the corresponding structure is analyzed on its parameters [2]. The aim of the present study is to investigate how the choices made in a simulation affect its accuracy and therefore the reliability of the result.

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References

  1. Chandra, P.H., Kalavathy, S.M.S.T., Jayaseeli, A.M.I., Karoline, J.P.: Mechanism of fuzzy ARMS on chemical reaction. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A.K. (eds.) Innovations in Bio-Inspired Computing and Applications. AISC, vol. 424, pp. 43–53. Springer, Heidelberg (2016). doi:10.1007/978-3-319-28031-8_4

    Chapter  Google Scholar 

  2. Chandra, P.H., Kalavathy, S.M.S.T., Jayaseeli, A.M.I., Karoline, J.P.: Fuzzy ACS with biological catalysts on membranes in chemical reactions. J. Netw. Innov. Comput. 4, 143–151 (2016). MIR Labs, USA

    Google Scholar 

  3. Suzuki, Y., Tanaka, H.: Symbolic chemical system based on abstract rewriting system and its behaviour pattern. J. Artif. Life Robot. 1, 211–219 (1997). Springer-Verlag

    Article  Google Scholar 

  4. Suzuki, Y., Fujiwara, Y., Takabayashi, J., Tanaka, H.: Artificial life applications of a class of P systems: abstract rewriting systems on multisets. In: Calude, C.S., Păun, G., Rozenberg, G., Salomaa, A. (eds.) WMC 2000. LNCS, vol. 2235, pp. 299–346. Springer, Heidelberg (2001). doi:10.1007/3-540-45523-X_16

    Chapter  Google Scholar 

  5. Pǎun, G.: Membrane Computing: An Introduction. Springer-Verlag, Berlin (2002)

    Book  MATH  Google Scholar 

  6. Pǎun, P., Popa, B.: P systems with proteins on membranes. Fundam. Inform. 72(4), 467–483 (2006)

    MATH  MathSciNet  Google Scholar 

  7. Sosík, P., Păun, A., Rodríguez-Patón, A., Pérez, D.: On the power of computing with proteins on membranes. In: Păun, G., Pérez-Jiménez, M.J., Riscos-Núñez, A., Rozenberg, G., Salomaa, A. (eds.) WMC 2009. LNCS, vol. 5957, pp. 448–460. Springer, Heidelberg (2010). doi:10.1007/978-3-642-11467-0_30

    Chapter  Google Scholar 

  8. Jayaseeli, A.M.I., Rajagopal, S.: [Iron(III)-salen] ion catalyzed \(H_{2}O_{2}\) oxidation of organic sulfides and sulfoxides. J. Mol. Catal. Chem. 309, 103–110 (2009)

    Article  Google Scholar 

  9. Chandra, P.H., Kalavathy, S.M.S.T., Jayaseeli, A.M.I.: Mechanism of sulfoxidation in artificial cell system. In: Proceedings of Asian Conference on Membrane Computing. IEEE (2014)

    Google Scholar 

  10. McDowell, M.P.: Mathematical Modeling of the Brusselator. Prepared for: Powers, J.M. AME 36099–01, Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, 6 February 2008. http://www3.nd.edu/powers/mcdowell.pdf

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Correspondence to P. Helen Chandra .

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© 2016 Springer Nature Singapore Pte Ltd.

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Karoline, J.P., Chandra, P.H., Kalavathy, S.M.S.T., Jayaseeli, A.M.I. (2016). Simulation of Fuzzy ACSH on Membranes with Michaelis-Menten Kinetics. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_15

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  • DOI: https://doi.org/10.1007/978-981-10-3611-8_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3610-1

  • Online ISBN: 978-981-10-3611-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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