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Configurable Cellular Automata For Pseudorandom Number Generation

Author

Listed:
  • MARIE THERESE QUIETA

    (Department of Electrical and Computer Engineering, National University of Singapore, 3 Engineering Drive 3, Singapore 117576, Singapore)

  • SHENG-UEI GUAN

    (Department of Electrical and Computer Engineering, National University of Singapore, 3 Engineering Drive 3, Singapore 117576, Singapore)

Abstract

This paper proposes a generalized structure of cellular automata (CA) — the configurable cellular automata (CoCA). With selected properties from programmable CA (PCA) and controllable CA (CCA), a new approach to cellular automata is developed. In CoCA, the cells are dynamically reconfigured at run-time via a control CA. Reconfiguration of a cell simply means varying the properties of that cell with time. Some examples of properties to be reconfigured are rule selection, boundary condition, and radius. While the objective of this paper is to propose CoCA as a new CA method, the main focus is to design a CoCA that can function as a good pseudorandom number generator (PRNG). As a PRNG, CoCA can be a suitable candidate as it can pass 17 out of 18 Diehard tests with 31 cells. CoCA PRNG's performance based on Diehard test is considered superior over other CA PRNG works. Moreover, CoCA opens new rooms for research not only in the field of random number generation, but in modeling complex systems as well.

Suggested Citation

  • Marie Therese Quieta & Sheng-Uei Guan, 2005. "Configurable Cellular Automata For Pseudorandom Number Generation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1051-1073.
    • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:07:n:s0129183105007728
    DOI: 10.1142/S0129183105007728
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    Cited by:

    1. Tan, Syn Kiat & Guan, Sheng-Uei, 2009. "Randomness quality of permuted pseudorandom binary sequences," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1618-1626.

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