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A large amount of population models use the concept of a carrying capacity. Simulated populations are bounded by invoking finite resources through a survival probability, commonly referred to as the Verhulst factor. The fact, however, that…

Populations and Evolution · Quantitative Biology 2015-05-19 C. M. N. Pinol , R. S. Banzon

We removed from the Penna model for biological ageing any random killing Verhulst factor. Deaths are due only to genetic diseases and the population size is fixed, instead of fluctuating around some constant value. We show that these…

Statistical Mechanics · Physics 2007-05-23 S. Moss de Oliveira , P. M. C de Oliveira , J. S. Sa Martins

We twice modify the Penna model for biological ageing. First we introduce back (good) mutations and a memory for them into the model. It allows us to observe an improvement of the species fitness over long time scales as well as punctuated…

Statistical Mechanics · Physics 2015-06-24 S. Moss de Oliveira , D. Stauffer , P. M. C de Oliveira , J. S. Sa Martins

The concept of random deaths in a computational model for population dynamics is critically examined. We claim that it is just an artifact, albeit useful, of computational models to limit the size of the populations and has no biological…

Statistical Mechanics · Physics 2007-05-23 J. S. Sa' Martins , S. Cebrat

The Penna model is a strategy to simulate the genetic dynamics of age-structured populations, in which the individuals genomes are represented by bit-strings. It provides a simple metaphor for the evolutionary process in terms of the…

Populations and Evolution · Quantitative Biology 2009-11-11 Veit Schwämmle , Suzana M. de Oliveira

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

We represent a process of learning by using bit strings, where 1-bits represent the knowledge acquired by individuals. Two ways of learning are considered: individual learning by trial-and-error; and social learning by copying knowledge…

Populations and Evolution · Quantitative Biology 2007-05-23 Armando Ticona Bustillos , Paulo Murilo C. de Oliveira

The Verhulst model is probably the best known macroscopic rate equation in population ecology. It depends on two parameters, the intrinsic growth rate and the carrying capacity. These parameters can be estimated for different populations…

Populations and Evolution · Quantitative Biology 2015-06-19 Vicenç Méndez , Michael Assaf , Daniel Campos , Werner Horsthemke

In this paper the Penna model is reconsidered. With computer simulations we check how the control parameters of the model influence the size of the stable population.

Populations and Evolution · Quantitative Biology 2007-05-23 K. Malarz , M. Sitarz , P. Gronek , A. Dydejczyk

Verhulst logistic curve either grows OR decays, depending on the {\it growth rate} parameter value. A similar situation is found in the Gompertz law about human mortality. However, growth can neither be infinite nor reach a finite steady…

Biological Physics · Physics 2015-03-19 Marcel Ausloos

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

In this study, we analyze the relationship between human population growth and economic dynamics. To do so, we present a modified version of the Verhulst model and the Solow model, which together simulate population dynamics and the role of…

General Economics · Economics 2023-08-17 Iram Gleriaa , Sergio Da Silvab , Leon Brenig , Tarcısio M. Rocha Filho , Annibal Figueiredo

In 1995 T.J.Penna introduced a simple model of biological aging. A modified Penna model has been demonstrated to exhibit behaviour of real-life systems including catastrophic senescence in salmon and a mortality plateau at advanced ages. We…

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

This paper aims to develop practical applications of the model for the highly technical measure-valued populations developed by the authors in \cite{FanEtal20}. We consider the problem of estimation of parameters in the general age and…

Statistics Theory · Mathematics 2025-06-30 Jie Yen Fan , Kais Hamza , Fima C. Klebaner , Ziwen Zhong

A stochastic genetic model for biological aging is introduced bridging the gap between the bit-string Penna model and the Pletcher-Neuhauser approach. The phenomenon of exponentially increasing mortality function at intermediate ages and…

Statistical Mechanics · Physics 2007-05-23 Zhi-Feng Huang , Dietrich Stauffer

Assuming the deleterious mutations in the Penna ageing model to affect mainly the young ages, we get an enhanced mortality at very young age, followed by a minimum of the mortality, and then the usual exponential increase of mortality with…

Populations and Evolution · Quantitative Biology 2007-08-28 D. Stauffer , S. Moss de Oliveira

We have modified the sexual Penna model by introducing the fluctuating environment and fluctuations representing physiological functions of individuals. Additionally, we have introduced the mother care corresponding to the protection…

Populations and Evolution · Quantitative Biology 2008-11-04 Przemyslaw Biecek , Katarzyna Bonkowska , Stanislaw Cebrat

In this work, some phenomenological models, those that are based only on the population information (macroscopic level), are deduced in an intuitive way. These models, as for instance Verhulst, Gompertz and Bertalanffy models, are posted in…

Populations and Evolution · Quantitative Biology 2016-05-23 Fabiano L. Ribeiro

A general multi-type population model is considered, where individuals live and reproduce according to their age and type, but also under the influence of the size and composition of the entire population. We describe the dynamics of the…

Probability · Mathematics 2019-03-13 Jie Yen Fan , Kais Hamza , Peter Jagers , Fima C. Klebaner

A time- and space-discrete model for the growth of a rapidly saturating local biological population $N(x,t)$ is derived from a hierarchical random deposition process previously studied in statistical physics. Two biologically relevant…

Biological Physics · Physics 2009-11-07 J. O. Indekeu , K. Sznajd-Weron
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