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相关论文: Effective Fitness Landscapes for Evolutionary Syst…

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We consider the adaptation dynamics of an asexual population that walks uphill on a rugged fitness landscape which is endowed with large number of local fitness peaks. We work in a parameter regime where only those mutants that are single…

种群与进化 · 定量生物学 2016-01-13 Sarada Seetharaman , Kavita Jain

We discuss a population of sequences subject to mutations and frequency-dependent selection, where the fitness of a sequence depends on the composition of the entire population. This type of dynamics is crucial to understand the evolution…

无序系统与神经网络 · 物理学 2009-11-07 M. Laessig , L. Peliti , F. Tria

A major problem in evolutionary biology is how species learn and adapt under the constraint of environmental conditions and competition of other species. Models of cyclic dominance provide simplified settings in which such questions can be…

统计力学 · 物理学 2025-04-09 Honghao Yu , Robert L. Jack

Emergence is a phenomenon taken for granted in science but also still not well understood. We have developed a model of artificial genetic evolution intended to allow for emergence on genetic, population and social levels. We present the…

种群与进化 · 定量生物学 2015-05-19 Chris Marriott , Jobran Chebib

Genetic information and environmental factors determine the path of an individuals life and therefore, the evolution of its entire species. We have succeeded in proposing and studying a model that captures this idea. In our model, a…

种群与进化 · 定量生物学 2021-07-28 N. Abadi , G. Abramson

Adaptation of asexual populations is driven by beneficial mutations and therefore the dynamics of this process, besides other factors, depend on the distribution of beneficial fitness effects. It is known that on uncorrelated fitness…

种群与进化 · 定量生物学 2016-08-05 Sona John , Sarada Seetharaman

We propose a stochastic model for evolution. Births and deaths of species occur with constant probabilities. Each new species is associated with a fitness sampled from the uniform distribution on [0,1]. Every time there is a death event…

概率论 · 数学 2010-11-09 Herve Guiol , Fabio P. Machado , Rinaldo B. Schinazi

Biological fitness is not an observable quantity and must be inferred from population dynamics. Bayesian inference applied to the Moran process and variants yields a robust inference method that can infer fitness in populations evolving via…

动力系统 · 数学 2013-10-24 Marc Harper

In this paper, we investigate fitness landscapes (under point mutation and recombination) from the standpoint of whether the induced evolutionary dynamics have a "fast-slow" time scale associated with the differences in relaxation time…

种群与进化 · 定量生物学 2007-05-23 Max Shpak , Peter Stadler , Gunter Wagner , Lee Altenberg

Living species, ranging from bacteria to animals, exist in environmental conditions that exhibit spatial and temporal heterogeneity which requires them to adapt. Risk-spreading through spontaneous phenotypic variations is a known concept in…

We investigate the evolution of populations of random Boolean networks under selection for robustness of the dynamics with respect to the perturbation of the state of a node. The fitness landscape contains a huge plateau of maximum fitness…

种群与进化 · 定量生物学 2009-11-13 Tamara Mihaljev , Barbara Drossel

A common metaphor for describing development is a rugged "epigenetic landscape" where cell fates are represented as attracting valleys resulting from a complex regulatory network. Here, we introduce a framework for explicitly constructing…

分子网络 · 定量生物学 2014-09-11 Alex H. Lang , Hu Li , James J. Collins , Pankaj Mehta

The evolution model with parallel mutation-selection scheme is solved for the case when selection is accompanied by base substitutions, insertions, and deletions. The fitness is assumed to be either a single-peak function (i.e., having one…

种群与进化 · 定量生物学 2015-05-13 D. B. Saakian

The notions of taxis and kinesis are introduced and used to describe two types of behavior of an organism in non-uniform conditions: (i) Taxis means the guided movement to more favorable conditions; (ii) Kinesis is the non-directional…

种群与进化 · 定量生物学 2018-12-06 A. N. Gorban , N. Çabukoǧlu

We study biological evolution in a high-dimensional genotype space in the regime of rare mutations and strong selection. The population performs an uphill walk which terminates at local fitness maxima. Assigning fitness randomly to…

种群与进化 · 定量生物学 2015-05-28 Johannes Neidhart , Joachim Krug

We examine the feasibility of predicting and subsequently managing the future evolution of a Complex Adaptive System. Our archetypal system mimics a competitive population of mechanical, biological, informational or human objects. We show…

无序系统与神经网络 · 物理学 2007-05-23 David M. D. Smith , Neil F. Johnson

We propose a class of evolutionary models that involves an arbitrary exchangeable process as the breeding process and different selection schemes. In those models, a new genome is born according to the breeding process, and then a genome is…

神经与进化计算 · 计算机科学 2020-08-25 Jüri Lember , Chris Watkins

Starting with Darwin, biologists have asked how populations evolve from a low fitness state that is evolutionarily stable to a high fitness state that is not. Specifically of interest is the emergence of cooperation and multicellularity…

种群与进化 · 定量生物学 2015-11-10 Dervis Can Vural , Alexander Isakov , L. Mahadevan

I consider a class of fitness landscapes, in which the fitness is a function of a finite number of phenotypic "traits", which are themselves linear functions of the genotype. I show that the stationary trait distribution in such a landscape…

无序系统与神经网络 · 物理学 2009-11-07 Luca Peliti

Geographic ranges of communities of species evolve in response to environmental, ecological, and evolutionary forces. Understanding the effects of these forces on species' range dynamics is a major goal of spatial ecology. Previous…

种群与进化 · 定量生物学 2022-02-02 Farshad Shirani , Judith R. Miller
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