Abstract
We aim to compare functionality of symport/antiport with embedded rewriting to that of symport/antiport accompanied by rewriting, by two-way simulation, in case of tissue P systems with parallel communication. A simulation in both directions with constant slowdown is constructed.
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Alhazov, A.: Number of protons/bi-stable catalysts and membranes in P systems. time-freeness. In: Freund, R., Păun, G., Rozenberg, G., Salomaa, A. (eds.) WMC 2005. LNCS, vol. 3850, pp. 79–95. Springer, Heidelberg (2006). https://doi.org/10.1007/11603047_6
Cabarle, F.G.C., Buño, K.C., Adorna, H.N.: Time after time: notes on delays in spiking neural P systems. In: Nishizaki, S., Numao, M., Caro, J., Suarez, M.T. (eds.) PICT 2013, vol. 7. Springer, Tokyo (2013). https://doi.org/10.1007/978-4-431-54436-4_6
Cavaliere, M.: Evolution–communication P systems. In: Păun, G., Rozenberg, G., Salomaa, A., Zandron, C. (eds.) WMC 2002. LNCS, vol. 2597, pp. 134–145. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-36490-0_10
Freund, R., Verlan, S.: A formal framework for static (tissue) P systems. In: Eleftherakis, G., Kefalas, P., Păun, G., Rozenberg, G., Salomaa, A. (eds.) WMC 2007. LNCS, vol. 4860, pp. 271–284. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-77312-2_17
Juayong, R.A.B, Adorna, H.N.: On simulating cooperative transition P systemsin evolution–communication P systems with energy. Nat. Comput. 1–11 (2016). https://doi.org/10.1007/s11047-016-9589-7
Juayong, R.A.B., Adorna, H.N.: Relating computations in non-cooperative transition P systems and evolution-communication P systems with energy. Fundamenta Informaticae 136(3), 209–217 (2015). https://doi.org/10.3233/FI-2015-1152
Juayong, R.A.B., Hernandez, N.H.S., Cabarle, F.G.C., Adorna, H.N.: A simulation of transition P systems in weighted spiking neural P systems. In: Nishizaki, S., et al. (eds.) Proceedings of Workshop on Computation: Theory and Practice 2013, WCTP 2013, pp. 62–78. World Scientific (2014)
Martín-Vide, C., Păun, G., Pazos, J., Rodriguez-Patón, A.: Tissue P systems. Theor. Comput. Sci. 296, 295–326 (2003). https://doi.org/10.1016/S0304-3975(02)00659-X
Song, B., Zhang, C., Pan, L.: Tissue-like P systems with evolutional symport/antiport rules. Inf. Sci. 378, 177–193 (2017). https://doi.org/10.1016/j.ins.2016.10.046
Acknowledgments
The work is supported by the National Natural Science Foundation of China (61320106005, 61033003, 61772214, and 61602192), the Innovation Scientists and Technicians Troop Construction Projects of Henan Province (154200510012), and the China Postdoctoral Science Foundation (2016M600592, 2017T100554).
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Adorna, H., Alhazov, A., Pan, L., Song, B. (2018). Simulating Evolutional Symport/Antiport by Evolution-Communication and vice versa in Tissue P Systems with Parallel Communication. In: Gheorghe, M., Rozenberg, G., Salomaa, A., Zandron, C. (eds) Membrane Computing. CMC 2017. Lecture Notes in Computer Science(), vol 10725. Springer, Cham. https://doi.org/10.1007/978-3-319-73359-3_1
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DOI: https://doi.org/10.1007/978-3-319-73359-3_1
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