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Theoretical approach to biological aging

Author

Listed:
  • Almeida, R.M.C.de
  • Oliveira, S.Moss de
  • Penna, T.J.P.

Abstract

We present a model for biological aging that considers the number of individuals whose (inherited) genotype determines the maximum age for death: each individual may die before that age due to some external factor, but never after that limit. The genotype of the offspring is inherited from the parent with some mutations, described by a transition matrix. The model can describe different strategies of reproduction and it is exactly soluble. We applied our method to the bit-string model for aging and the results are in perfect agreement with numerical simulations.

Suggested Citation

  • Almeida, R.M.C.de & Oliveira, S.Moss de & Penna, T.J.P., 1998. "Theoretical approach to biological aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 366-378.
  • Handle: RePEc:eee:phsmap:v:253:y:1998:i:1:p:366-378
    DOI: 10.1016/S0378-4371(97)00648-1
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    Cited by:

    1. Graciani Rodrigues, C.C. & EspĂ­ndola, Aquino L. & Penna, T.J.P., 2015. "An agent-based computational model for tuberculosis spreading on age-structured populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 52-59.
    2. da Rocha, Arthur M. & EspĂ­ndola, Aquino L. & Penna, T.J.P., 2020. "Mortality curves using a bit-string aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

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