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- W2023015478 abstract "A recently introduced model of macroevolution is studied on two different levels of systems analysis. Firstly, the systems dynamics and properties, above all the growth of complexity of the evolutionary units during the long-term evolution, are discussed, and, secondly, the complexity of the model itself, i.e. the richness of its various features, is studied with regard to a control parameter representing a background noise within the systems dynamics. The same is done with a randomized version of the model. The model is based on a normalized one-dimensional coupled map lattice with locally interacting sites representing different species. The evolution of the sites’ values representing the fitness of the species is governed by a usual diffusion rule and an additional memory- or random-based feedback loop. The introduction of a realistic background noise limiting the range of the feedback operation yields a pattern signature in fitness space with a distribution of temporal boost/mutation distances similar..." @default.
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- W2023015478 date "1999-01-01" @default.
- W2023015478 modified "2023-09-26" @default.
- W2023015478 title "Progressive evolution and a measure for its noise-dependent complexity" @default.
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- W2023015478 doi "https://doi.org/10.1063/1.58250" @default.
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