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An Expanded Concept of the Borrowed Time as a Mean of Increasing the Average Speed Isotropy on Regular Grids

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New Results in Dependability and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 224))

Abstract

In this work it is investigated how the proper choice of the underlying grid for computer simulations in complex systems can increase its observed isotropy; thus increasing dependability of the obtained results. The square lattice with both the von Neumann and the Moore neighborhood as well as the hexagonal lattice are being considered. The average speed isotropy is examined with regard to different length scales. The concept of the borrowed time is reintroduced and expanded for the square lattice with the Moore neighborhood. It is shown that such treatment can decrease the anisotropy of the average speed without increasing complexity of the calculations.

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References

  1. Chopard, B., Droz, M.: Cellular Automata Modeling of Physical Systems. Cambridge University Press, Alea-Saclay (2005)

    Google Scholar 

  2. Wolfram, S.: Cellular automaton fluids 1: Basic theory. J. Stat. Phys. 45(3/4) (1986)

    Google Scholar 

  3. Schonfisch, B.: Propagation of fronts in cellular automata. Physica D: Nonlinear Phenomena 80(4), 433–450 (1995)

    Article  MathSciNet  Google Scholar 

  4. Schonfisch, B.: Anisotropy in cellular automata. BioSystems (41), 29–41 (1997)

    Google Scholar 

  5. Kurrer, C., Schulten, K.: Propagation of chemical waves in discrete excitable media: anisotropic and isotropic wave fronts. In: Holden, M.M., Othmer, A.V., Othmer, H.G. (eds.) Nonlinear Wave Processes in Excitable Media. Plenum Press (1991)

    Google Scholar 

  6. Markus, M.: Dynamics of a cellular automaton with randomly distributed elements. In: Arino, A.D.E., Kimmel, O., Kimmel, M. (eds.) Mathematical Population Dynamics. Marcel Dekker (1991)

    Google Scholar 

  7. Nishiyama, A., Tokihiro, T.: Construction of an isotropic cellular automaton for a reaction-diffusion equation by means of a random walk. J. Phys. Soc. Jpn. 80, 054003 (2010)

    Google Scholar 

  8. Frish, U., Hasslacher, B., Pomeau, Y.: Lattice-gas automata for the navier-stokes equation. Physical Review Letters 56(14), 1505–1508 (1986)

    Article  Google Scholar 

  9. Kirchner, A., Klupfel, H., Nishinari, K., Schadschneider, A., Schreckenberg, M.: Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics. J. Stat. Mech. (2004)

    Google Scholar 

  10. Klupfel, H.: A Cellular Automaton Model for Crowd Movement and Egress Simulation. Dissertation, University Duisburg-Essen (2003)

    Google Scholar 

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Correspondence to Marcin Mycek .

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Mycek, M. (2013). An Expanded Concept of the Borrowed Time as a Mean of Increasing the Average Speed Isotropy on Regular Grids. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) New Results in Dependability and Computer Systems. Advances in Intelligent Systems and Computing, vol 224. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00945-2_28

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