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Populations and Evolution · Quantitative Biology 2010-03-10 D. Stauffer , S. Cebrat

The death of a biological population is an extreme event which we investigate here for a host-parasitoid system. Our simulations using the Penna ageing model show how biological evolution can ``teach'' the parasitoids to avoid extinction by…

Populations and Evolution · Quantitative Biology 2009-11-13 Dietrich Stauffer , Ana Proykova , Karl-Heinz Lampe

A square lattice is introduced into the Penna model for biological aging in order to study the evolution of diploid sexual populations under certain conditions when one single locus in the individual's genome is considered as identifier of…

Populations and Evolution · Quantitative Biology 2009-11-10 A. O. Sousa

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

Using a simple computer model for evolution, we show that in a sexual population subject only to age-increasing reproductive risk, a cessation of female reproduction emerges.

Statistical Mechanics · Physics 2009-11-07 A. O. Sousa

The understanding of language competition helps us to predict extinction and survival of languages spoken by minorities. A simple agent-based model of a sexual population, based on the Penna model, is built in order to find out under which…

Physics and Society · Physics 2009-11-11 Veit Schwammle

In this paper we consider a generalization to the asexual version of the Penna model for biological aging, where we take a continuous time limit. The genotype associated to each individual is an interval of real numbers over which Dirac…

Condensed Matter · Physics 2009-10-31 R. M. C. de Almeida , G. L. Thomas

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

We have analyzed the relations between the mutational pressure, recombination and selection pressure in the bit-string model with sexual reproduction. For specific sets of these parameters we have found three phase transitions with one…

Populations and Evolution · Quantitative Biology 2007-05-23 D. Stauffer , S. Cebrat

We have used the Penna ageing model to analyze how the differences in evolution of sex chromosomes depend on the strategy of reproduction. In panmictic populations, when females (XX) can freely choose the male partner (XY) for reproduction…

Populations and Evolution · Quantitative Biology 2008-11-03 Przemyslaw Biecek , Stanislaw Cebrat

We perform simulations based on the Penna model for biological ageing, now with the purpose of studying sympatric speciation, that is, the division of a single species into two or more populations, reproductively isolated, but without any…

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

We present some analytic results for the steady states of the Penna model of sen escence, generalised to allow genetically identical individuals to die at differ ent ages via an arbitrary survival function. Modelling this with a Fermi…

Soft Condensed Matter · Physics 2009-11-07 J. B. Coe , Y. Mao , M. E. Cates

We modify the Penna Model for biological aging, which is based on the mutation-accumulation theory, in order to verify if there would be any evolutionary advantage of triploid over diploid organisms. We show that this is not the case, and…

Statistical Mechanics · Physics 2007-05-23 A. O. Sousa , S. Moss de Oliveira , J. S. Sa Martins

A bit-string model of biological life-histories is parallelized, with hundreds of millions of individuals. It gives the desired drastic decay of survival probabilities with increasing age for 32 age intervals.

Condensed Matter · Physics 2015-06-25 T. J. P. Penna , D. Stauffer

We combine the Penna Model for biological aging, which is based on the mutation-accumulation theory, with a sort of antagonistic pleiotropy. We show that depending on how the pleiotropy is introduced, it is possible to reproduce both the…

Statistical Mechanics · Physics 2009-11-07 A. O. Sousa , S. Moss de Oliveira

The Penna bit-string model successfully encompasses many phenomena of population evolution, including inheritance, mutation, evolution and ageing. If we consider social interactions among individuals in the Penna model, the population will…

Disordered Systems and Neural Networks · Physics 2009-11-11 Chunguang Li , Philip K. Maini

An asexual set of primitive bacteria is simulated with a bit-string Penna model with a Fermi function for survival. A recent hypothesis by Jan, Stauffer and Moseley on the evolution of sex from asexual cells as a strategy for trying to…

Soft Condensed Matter · Physics 2009-10-31 Bora Orcal , Erkan Tuzel , Volkan Sevim , Naeem Jan , Ayse Erzan

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

The possible coexistence of one host, one aggressive parasite and one non-lethal parasite is simulated using the Penna model of biological ageing. If the aggressive parasites survive the difficult initial times where they have to adjust…

Populations and Evolution · Quantitative Biology 2008-01-31 Dietrich Stauffer , Karl-Heinz Lampe

We introduce a square lattice into the Penna bit-string model for biological ageing and study the evolution of the spatial distribution of the population considering different strategies of child-care. Two of the strategies are related to…

Statistical Mechanics · Physics 2007-05-23 A. O. Sousa , S. Moss de Oliveira