By Prof. Dr. Suzana Moss de Oliveira, Prof. Dr. Paulo Murilo C. de Oliveira, Prof. Dr. Dietrich Stauffer (auth.)
This e-book for physicists, biologists, laptop scientists, economists or social scientists indicates in chosen examples how laptop simulation tools that are usual to statistical physics were utilized in different parts outdoor of physics. Our major half bargains with the biology of getting old, whereas different examples are the functioning of the immune process, the constitution of DNA, the fluctuations at the inventory marketplace, theories for sociology and for global conflict II. Are leaky water taps just like our heartbeats? during the ebook we emphasize microscopic types facing the motion of people, whether or not they are cells of the immune process or investors speculating at the forex industry. entire laptop courses are given and defined for organic growing old. The references try and introduce the specialist from the coated different fields to the appropriate physics literature; and so they convey the physicists the best way into the organic literature on ageing.
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Extra info for Evolution, Money, War, and Computers: Non-Traditional Applications of Computational Statistical Physics
Sex is always a complex subject, and for one of the authors computer simulations are the only available way to understand it. In order to give him some more time, appropriate to his advanced age, let us now better investigate how the range of reproduction and the birth rate affects the population in the Penna model. 2) through the normalized survival rates that ageing starts with reproduction, that the earlier the minimum reproduction age is, the smaller is the population lifetime, and that soon after reproduction stops the individuals die.
6. Another interesting strategy of reproduction was studied by ITO (1996a). 6 - Normalized survival rates for constant (thin line), linea r (t hick line) and parabolic (circles) fertilities; T = 2, R = 4 and M = 1. (Figure sent by Argollo de Menezes, Racco and Penna) . t o an imal and inherited by t he offspring. The simulations started with minage ra ndom ly distributed between 1 and 32, and all the genomes free of mutations. 18) He studied t he behaviour of the population for the cases where there are no genetic mutations in minage, only the ordinary bad mutations, or good and bad mutations.
1 were obtained instead by averaging over 512 58 2 THE BIT-STRING PENNA MODEL sepa rate populat ions of smaller size th an Meisgen 's total population, on 512 Cray-T3E pro cessors. It is very imp ort ant to not e t hat the number of fam ilies has nothing to do with the diversity of the genom es. We measured , for sexual reproduction , the mean correla tion between t he common ancestor genome and th e descend ent ones as a function of ti me, and found th at it goes to zero much before the numb er of families go to 1.
Evolution, Money, War, and Computers: Non-Traditional Applications of Computational Statistical Physics by Prof. Dr. Suzana Moss de Oliveira, Prof. Dr. Paulo Murilo C. de Oliveira, Prof. Dr. Dietrich Stauffer (auth.)