On Parallel Graph Rewriting Systems

Authors

  • Dragoș Sburlan Ovidius University of Constantza, Romania Faculty of Mathematics and Informatics 124 Mamaia Blvd., 900527 Constantza

Keywords:

parallel multiset processing, abstract rewriting systems, P systems

Abstract

In this paper we introduce a new theoretical paradigm, called PGR systems, which can be used to model in a discrete manner some natural phenomena occurring in-vivo/in-vitro en- vironments. PGR systems make use of graphs to describe the spatial structure of space of individuals, while the system dynamics caused by the movement/interaction of individuals is captured by the parallel applications of some graph rewriting rules. In this frame, an il- lustrative example is studied and based on it, an eloquent comparison between the abstract rewriting machines and PGR systems is done. Several further ideas to overcome the global computational effort needed for simulations, but still maintaining the overall ability for mod- eling are finally proposed.

References

D. Besozzi, G. Mauri, D. Pescini, C. Zandron, Dynamical Probabilistic P Systems. Int. J. Found. Comput. Sci., 17, 1 (2006), pp. 183-204.

D. Besozzi, P. Cazzaniga, G. Mauri, D. Pescini, Modelling Metapopulations with Stochastic Membrane Systems, BioSystems, 91 (2008), pp. 499-514. http://dx.doi.org/10.1016/j.biosystems.2006.12.011

B. Bollobas, Modern Graph Theory, Springer, 1991.

M. Cavaliere, I.I. Ardelean, Modeling Biological Processes by Using a Probabilistic P Sys- tem Software, Natural Computing, 2, 2 (2003), pp. 173-197. http://dx.doi.org/10.1023/A:1024943605864

H. Ehrig, Introduction to the Algebraic Theory of Graph Grammars, Lecture Notes in Com- puter Science 73 (1979), pp. 1-69. http://dx.doi.org/10.1007/BFb0025714

P. Frisco, The Conformon-P System: A Molecular and Cell Biology-Inspired Computability Model, Theoretical Computer Science, 312, 2-3 (2004), pp. 295-319.

P. Frisco, R.T. Gibson, A Simulator and an Evolution Program for Conformon-P Systems, Proc. of the 7th Int. Symp. on Symbolic and Numeric Algorithms for Scientific Computing, 2005, pp. 427-430. http://dx.doi.org/10.1109/SYNASC.2005.14

D.T. Gillespie, Exact Simulation of Coupled Chemical Reactions, J. Physical Chemistry, 81 (1977), pp. 2340-2361. http://dx.doi.org/10.1021/j100540a008

V. Manca, L. Bianco, Biological Networks in Metabolic P Systems. Biosystems, 91, 3(2008), pp. 489-498. http://dx.doi.org/10.1016/j.biosystems.2006.11.009

G. Păun, Membrane Computing. An Introduction, Springer, Berlin, 2002. http://dx.doi.org/10.1007/978-3-642-56196-2

D. Sburlan, Parallel Graph Rewriting Systems, Proc. of the 7th BWMC, Seville, Spain, 2009, in print.

Y. Suzuki, H. Tanaka, S. Tsumoto, Analysis of Cycles in Symbolic Chemical System Based on Abstract Rewriting System on Multisets, Proceedings of International Conference on Artificial Life 5 (Alife 5), 1996, pp. 482-489.

Y. Suzuki, J. Takabayashi, H. Tanaka, Investigation of Tritrophic System in Ecological Systems by Using an Artificial Chemistry, J. Artif. Life Robot., 6 (2002), pp. 129-132. http://dx.doi.org/10.1007/BF02481327

Y. Suzuki, H. Tanaka, Modelling p53 Signaling Pathways by Using Multiset Processing, Applications of Membrane Computing (G. Ciobanu, G. Păun, M. Pérez-Jiménez, Eds.), Springer, Berlin, 2006, pp. 203-214.

Published

2009-09-01

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.