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Self-Organization Of Aging In A Modified Penna Model

Author

Listed:
  • GI OK KIM

    (Department of Physics, Woosuk University, Wanju-gun, Jeonbuk (565-701), Korea)

  • SUGIE SHIM

    (Department of Physics, Kongju National University, Kongju-si, Chungnam (314-701), Korea)

Abstract

The Penna model for biological aging is modified so that the fertility of each individual is determined by means of the number of activated mutations at that time. A new concept of "good" mutation, which makes an individual to mature enough to reproduce, is introduced. It is assumed that each individual can reproduce only during adulthood, which is determined by the number of activated mutations. The results of Monte Carlo calculations using the modified model show that the ranges of the reproductive age are broadened as time goes by, thus showing self-organization in the biological aging to the direction of the maximum self-conservation. In addition, the population, the survival rate, and the average life span were calculated and analyzed by changing the number of new mutations at birth. It is observed that the higher is the considered number of new mutations at birth, the shorter is the obtained average life span. The mortality functions are also calculated and they showed the exponential increase in adulthood, satisfying the Gompertz law.

Suggested Citation

  • Gi Ok Kim & Sugie Shim, 2004. "Self-Organization Of Aging In A Modified Penna Model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 15(10), pages 1377-1386.
    • Handle: RePEc:wsi:ijmpcx:v:15:y:2004:i:10:n:s0129183104006790
    DOI: 10.1142/S0129183104006790
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    Cited by:

    1. Keesen, Fabíola & Castro e Silva, Alcides & Pinheiro, Carlos Felipe S. & Arashiro, Everaldo & Ligeiro, Yan & Grelle, Carlos Eduardo de Viveiros, 2023. "New applications of an old individual-based model for biological dynamics," Ecological Modelling, Elsevier, vol. 476(C).

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