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We present some results of simulations of population growth and evolution, using the standard asexual Penna model, with individuals characterized by a string of bits representing a genome containing some possible mutations. After about…

Populations and Evolution · Quantitative Biology 2009-11-11 Mikolaj Sitarz , Andrzej Z. Maksymowicz

We have simulated demographic changes in the human population using the Penna microscopic model, based on the simple Monte Carlo method. The results of simulations have shown that during a few generations changes in the genetic pool of a…

Statistical Mechanics · Physics 2007-05-23 A. Laszkiewicz , Sz. Szymczak , S. Cebrat

Computer simulations of the Penna ageing model suggest that already a small fraction of births with enhanced number of new mutations can negatively influence the whole population.

Populations and Evolution · Quantitative Biology 2015-05-13 S. Cebrat , D. Stauffer

Cellular senescence is thought to play a major role in age-related diseases, which cause nearly 67% of all human deaths worldwide. Recent research in mice showed that exercising mice had higher levels of telomerase, an enzyme that helps…

Populations and Evolution · Quantitative Biology 2013-11-13 Avikar Periwal

The bit-string model of biological aging is used to simulate the catastrophic senescence of Pacific Salmon. We have shown that reproduction occuring only once and at a fixed age is the only ingredient needed to explain the catastrophic…

adap-org · Physics 2009-10-28 T. J. P. Penna , S. Moss de Oliveira , Dietrich Stauffer

We succeeded in obtaining exact results of the bit-string model of biological aging for populations whose individuals breed only once. These results are in excellent agreement with those obtained through computer simulations. In addition,…

adap-org · Physics 2009-10-28 T. J. P. Penna , S. Moss de Oliveira

This review deals with computer simulation of biological ageing, particularly with the Penna model of 1995.

Populations and Evolution · Quantitative Biology 2007-06-22 D. Stauffer

We investigate the scaling properties of the Penna model, which has become a popular tool for the study of population dynamics and evolutionary problems in recent years. We find that the model generates a normalised age distribution for…

Populations and Evolution · Quantitative Biology 2009-11-11 E. Brigatti , J. S. Sa' Martins , I. Roditi

We build upon the recent steady-state Penna model solution, Phys.Rev.Lett. 89, 288103 (2002), to study the population dynamics within the Penna model. We show, that any perturbation to the population can be broken into a collection of modes…

Populations and Evolution · Quantitative Biology 2007-05-23 J. B. Coe , Y. Mao

We build upon our previous analytical results for the Penna model of senescence to include positive mutations. We investigate whether a small but non-zero positive mutation rate gives qualitatively different results to the traditional Penna…

Populations and Evolution · Quantitative Biology 2007-05-23 J. B. Coe , Y. Mao , M. E. Cates

The phase diagrams survival-extinction for the Penna model with parameters: (mutations rate)-(birth rate), (mutation rate)-(harmful mutations threshold), (harmful mutation threshold)-(minimal reproduction age) are presented. The extinction…

Populations and Evolution · Quantitative Biology 2007-05-23 K. Malarz

Much has been debated about the benefit of sexual over asexual reproduction in terms of evolutionary fitness. Here we focus on the advantage that may be brought about by the process of mating, where the choosing of mates contributes to the…

Populations and Evolution · Quantitative Biology 2007-05-23 Wan Ahmad Tajuddin Wan Abdullah

A bit-string model for the evolution of a population of haploid organisms, subject to competition, reproduction with mutation and selection is studied, using mean field theory and Monte Carlo simulations. We show that, depending on…

Statistical Mechanics · Physics 2009-11-07 Kathia M. Fehsenfeld , Ronald Dickman , Americo T. Bernardes

Insurance and annuity products covering several lives require the modelling of the joint distribution of future lifetimes. In the interest of simplifying calculations, it is common in practice to assume that the future lifetimes among a…

Risk Management · Quantitative Finance 2016-01-19 François Dufresne , Enkelejd Hashorva , Gildas Ratovomirija , Youssouf Toukourou

We present a simple model for biological aging. We studied it through computer simulations and we have found this model to reflect some features of real populations.

Condensed Matter · Physics 2009-10-28 Thadeu J. P. Penna

Branching processes are models used to describe populations that reproduce and die over time. In the classical setting, an individual's reproductive capacity remains constant throughout its lifetime. However, in real-world situations,…

Probability · Mathematics 2026-02-27 Daniela Bertacchi , Elena Montanaro , Fabio Zucca

Recently, individual-based models originally used for biological purposes revealed interesting insights into processes of the competition of languages. Within this new field of population dynamics a model considering sexual populations with…

Physics and Society · Physics 2015-06-26 Veit Schwämmle

No abstract given. Confirms earlier simulatiobns of the self-organization of dominance in the sexual Penna model, and the advantage of hermaphroditic over sexual reproduction.

Populations and Evolution · Quantitative Biology 2007-05-23 Klaus Blindert

A simple evolutionary model for biological ageing is modified such that it requires a minimum population for survival, like in human society. This social effect leads to a transition between extinction and survival of the species.

Statistical Mechanics · Physics 2007-05-23 Dietrich Stauffer , Jan P. Radomski

A deterministic model of an age-structured population with genetics analogous to the discrete time Penna model of genetic evolution is constructed on the basis of the Lotka-Volterra scheme. It is shown that if, as in the Penna model,…

Populations and Evolution · Quantitative Biology 2007-05-23 Miroslaw R. Dudek