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Titlebook: Biological Evolution and Statistical Physics; Michael Lässig,Angelo Valleriani Book 2002 Springer-Verlag Berlin Heidelberg 2002 Adaptation

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Multilevel processes in evolution and development: Computational models and biological insightsrmined by the lower level processes but where the reverse is true as well: the higher level processes determine the structure of the lower level entities In this paper we will discuss two rather different examples of this phenomenon..The first example discusses how the properties of (mutating) repro
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Review of biological ageing on the computertionaccumulation hypothesis, though it does not necessarily contradict alternative explanations of ageing through oxygen radicals or specific longevity genes. It represents the genome by a bit-string such that bit = 0 means a healthy and bit = 1 a sick gene, acting on the body from that age on which
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Spatio-temporal modes of speciationamical pathways of speciation resulting from a coupling of space, competition and mating behaviour: (i) sympatric at small habitat heterogeneity, (ii) sympatric with subsequent spatial differentiation at intermediate heterogeneity, and (iii) allopatric under strong heterogeneity.
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Dynamics and topology of species networksedator relationships and mutual competition, define the links of these networks. They also govern the dynamics of their population sizes. This dynamics acts as a selection mechanism, which can lead to the extinction of species. Adaptive changes of the interactions or the generation of new species in
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Modelling macroevolutionary patterns: An ecological perspective relevance of the single-species features is rather weak. Most evolutionary theory deals with genes/species as the units of selection operating on populations. However, the role of ecological networks andexternal perturbations seems to be at least as important as microevolutionary events basedon nat
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