13th International Conference on Membrane Computing - MTA Sztaki

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F.G.C. Cabarle, H.N. Adorna References 1. Cabarle, F.G.C., Adorna, H.N., Martínez-del-Amor, M.A.: A Spiking Neural P system simulator based on CUDA. M. Gheorghe et al. (eds.): 12th CMC 2011 revised and selected papers, LNCS 7184, pp. 87-103 (2012). 2. Cabarle, F.G.C., Adorna, H.N., Martínez-del-Amor, M.A., Pérez-Jiménez, M.J.: Improving GPU Simulations of Spiking Neural P Systems. (in press) Romanian Journal of Information Science and Technology (2012) 3. Chen, H., Ionescu, M., Ishdorj, T.-O., Păun, A., Păun, Gh., Pérez-Jiménez, M.J.: Spiking neural P systems with extended rules: universality and languages. Natural Computing, vol. 7, issue 2, pp. 147-166 (2008) 4. David, R., Alla, H.. Petri nets and Grafcet: Tools for Modelling Discrete Event Systems. Prentice-Hall, NJ, USA (1992) 5. Desel, J., Esparza, J. Free Choice Petri nets. Cambridge tracts in theoretical computer science. vol. 40, Cambridge University Press (1995) 6. Esparza, J., Leucker, M, Schlund, M. Learning Workflow Petri Nets. J. Lilius and W. Penczek (Eds.): PETRI NETS 2010, LNCS vol. 6128, pp. 206-225, Springer (2010) 7. Frisco, P. P Systems, Petri Nets, and Program Machines. R. Freund et al. (Eds.): WMC 2005, LNCS 3850, pp. 209-223, Springer (2006) 8. Gutiérrez-Naranjo, M., Pérez-Jiménez, M.J.. Hebbian Learning from Spiking Neural P Systems View. LNCS, 9th Workshop on Membrane Computing, vol. 5391, pp. 217-230, Springer (2009) 9. Ionescu, M., Păun, Gh., Yokomori, T.: Spiking Neural P Systems. Fundamenta Informaticae, vol. 71, issue 2,3 279-308, Feb. (2006) 10. Ionescu, M., Tîrnăcă, C.I., Tîrnăcă, C.. Dreams and spiking neural P systems. Romanian Journal of Information Science and Technology, vol. 12(2), pp. 209-217 (2009) 11. Kleijn, J.H.C.M., Koutny, M., Rozenberg, G.: Towards a Petri Net Semantics for Membrane Systems. Proc. of the 6th Workshop on Membrane Computing, Vienna (2005) and in Membrane Computing, LNCS 3850, pp. 292-309 (2006) 12. Metta, V.P., Krithivasan, K., Garg, G.: Spiking Neural P systems and Petri nets. Proc. of the Int’l Workshop on Machine Intelligence Research (2009) [Online]. Available http://www.mirlabs.org/nagpur/paper02.pdf 13. Metta, V.P., Krithivasan, K., Garg, G.: Modeling spiking neural P systems using timed Petri nets. NaBIC IEEE <strong>Conference</strong>, pp. 25-30 (2009) 14. Metta, V.P., Krithivasan, K., Garg, G.: Simulation of Spiking Neural P Systems Using Pnet Lab. Proc. of the 12th CMC, Paris, France, Aug. 2011, [Online] Available http://cmc12.lacl.fr/cmc12proceedings.pdf 15. Murata, T.: Petri Nets: Properties, analysis and application. Proc. of the IEEE, 77(4): pp. 541-580 (1989) 16. Pan, L., Păun, Gh., Pérez-Jiménez, M.J.: Spiking neural P systems with neuron division and budding. Proc. of the 7th Brainstorming Week on Membrane Computing, RGNC, Sevilla, Spain, pp. 151-168 (2009) 17. Păun, Gh.: Membrane Computing: An Introduction. Springer (2002) 18. Păun, Gh., Pérez-Jiménez, M.J.: Spiking Neural P Systems. Recent Results, Research Topics. A. Condon et al. (eds.), Algorithmic Bioprocesses, Springer (2009) 19. van der Aalst, W.M.P.: Structural Characterizations of Sound Workflow Nets. Computing Science Reports 96/23, Eindhoven University of Technology (1996) 158
On structures and behaviors of spiking neural P systems and Petri nets 20. van der Aalst, W.M.P. Three Good reasons for Using a Petri-net-based Workflow Management System. Proc. of the Int’l Working <strong>Conference</strong> on Information and Process Integration in Enterprises (IPIC 96). pp. 179-201, Cambridge, MA (1996) 21. van der Aalst, W.M.P.: The Application of Petri Nets to Workflow Management. Journal of Circuits, Systems and Computers. vol. 8, no. 1, pp. 21-66 (1998) 22. Qi, Z., You, J., Mao, H.: P Systems and Petri Nets. Martín-Vide et al. (eds.), WMC 2003, LNCS 2933, pp. 286-303 (2004) 23. Zeng, X., Adorna, H.N., Martínez-del-Amor, M.A., Pan, L., Pérez-Jiménez, M.J.: Matrix Representation of Spiking Neural P Systems. 11th CMC, Jena, Germany, Aug. 2010 and LNCS 6501, pp. 377-39 (2011) 24. P systems resource website. [Online]. Available: http://http://ppage.psystems.eu/. 159
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Erzsébet Csuhaj-Varjú Marian Gheo
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Editors Erzsébet Csuhaj-Varjú Dep
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Preface In addition to the texts or
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Contents M.A. Martínez-del-Amor, I
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(Tissue) P systems with decaying ob
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Sorin Istrail, Solomon Marcus of pr
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Sorin Istrail, Solomon Marcus proba
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Sorin Istrail, Solomon Marcus stati
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Sorin Istrail, Solomon Marcus 4.
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Sorin Istrail, Solomon Marcus his f
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Turing’s three pioneering initiat
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Turing’s three pioneering initiat
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MP systems for systems biology tere
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Yu. Rogozhin this obstacle and to g
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Yu. Rogozhin 10. J. Cocke, M. Minsk
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M. Stannett The question arises, wh
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Regular Contributions
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T. Ahmed, G. DeLancy, A. Paun almos
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T. Ahmed, G. DeLancy, A. Paun purpo
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T. Ahmed, G. DeLancy, A. Paun Fig.
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T. Ahmed, G. DeLancy, A. Paun gener
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T. Ahmed, G. DeLancy, A. Paun
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T. Ahmed, G. DeLancy, A. Paun Table
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T. Ahmed, G. DeLancy, A. Paun 14. H
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Asynchronuous and maximally paralle
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A. Alhazov, R. Freund, H. Heikenwä
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Page 145 and 146: On structures and behaviors of spik
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A formal framework for P systems wi
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A new approach for solving SAT by P
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Maintenance of chronobiological inf
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4 3.5 3 2.5 2 1.5 1 0.5 0 0 50 100
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Using a kernel P system to solve th
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Spiking neural P systems with funct
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L.F. Macías-Ramos, M.J. Pérez-Jim
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M.A. Martínez-del-Amor, I. Pérez-
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Membranes with local environments A
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Membranes with local environments T
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Membranes with local environments -
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Membranes with local environments -
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Membranes with local environments I
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On efficient algorithms for SAT dis
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On efficient algorithms for SAT 2 S
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On efficient algorithms for SAT 2.4
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On efficient algorithms for SAT inc
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On efficient algorithms for SAT •
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On efficient algorithms for SAT Not
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On efficient algorithms for SAT the
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On efficient algorithms for SAT 32.
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A. Obtu̷lowicz - its underlying tr
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A. Obtu̷lowicz 2−ramification
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A. Obtu̷lowicz The correctness of
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A. Obtu̷lowicz The arcs (links) fr
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An analysis of correlative and quan
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Sublinear-space P systems with acti
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Modelling ecological systems with t
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D. Sburlan hence one can gather use
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D. Sburlan represents a 0L system.
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D. Sburlan assuming that M is in a
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D. Sburlan q 1 {t−, T 1 ↓, T 2
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D. Sburlan In case of M, the states
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D. Sburlan We introduced a formal s
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P. Sosík [9, 10], several research
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P. Sosík The rules of a system lik
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P. Sosík 1. The family Π is polyn
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P. Sosík (a) subsequently and recu
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P. Sosík contentFinal = content(l,
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P. Sosík Hence, with the aid of th
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P. Sosík 8. Lakshmanan K. and Rama
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S. Verlan, J. Quiros more relevance
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S. Verlan, J. Quiros For a regular
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S. Verlan, J. Quiros digital FPGA c
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S. Verlan, J. Quiros where k j = N
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S. Verlan, J. Quiros Now let us con
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S. Verlan, J. Quiros We consider a
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S. Verlan, J. Quiros the present co
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S. Verlan, J. Quiros Table 2 gives
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S. Verlan, J. Quiros Using similar
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S. Verlan, J. Quiros 5. M. Maliţa,
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Simplifying Event-B models of P sys
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Author Index Adorna H., 143 Agrigor
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13th International Conference on Membrane Computing - MTA Sztaki

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