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相关论文: A Simple Model for the Evolution of Evolution

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We study the evolution of recombination using a microscopic model developed within the frame of the theory of quantitative traits. Two components of fitness are considered: a static one that describes adaptation to environmental factors not…

种群与进化 · 定量生物学 2007-05-23 Franco Bagnoli , Carlo Guardiani

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…

In the course of Darwinian evolution of a population, punctualism is an important phenomenon whereby long periods of genetic stasis alternate with short periods of rapid evolutionary change. This paper provides a mathematical interpretation…

概率论 · 数学 2009-03-17 Nicolas Champagnat

Is evolution always gradual or can it make leaps? We examine a mathematical model of an evolutionary process on a fitness landscape and obtain analytic solutions for the probability of multi-mutation leaps, that is, several mutations…

种群与进化 · 定量生物学 2022-10-12 Mikhail I. Katsnelson , Yuri I. Wolf , Eugene V. Koonin

In evolution theory the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. In this article it is shown that in general, in the presence of other…

适应与自组织系统 · 物理学 2016-11-17 C. R. Stephens

From some observations on economic behaviors, in particular changing economic conditions with time and space, we develop a very simple model for the evolution of economic entities within a geographical type of framework. We raise a few…

适应与自组织系统 · 物理学 2012-08-31 Marcel Ausloos , Paulette Clippe , Andrzej Pekalski

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

Species evolution is essentially a random process of interaction between biological populations and their environments. As a result, some physical parameters in evolution models are subject to statistical fluctuations. In this paper, two…

种群与进化 · 定量生物学 2015-06-02 Duo-Fang Li , Tian-Guang Cao , Jin-Peng Geng , Li-Hua Qiao , Jian-Zhong Gu , Yong Zhan

Complex change is often described as "evolutionary" in economics, policy, and technology, yet most system dynamics models remain constrained to fixed state spaces and equilibrium-seeking behavior. This paper argues that evolutionary…

种群与进化 · 定量生物学 2026-02-19 Dan Adler

Frequency-dependent selection reflects the interaction between different species as they battle for limited resources in their environment. In a stochastic evolutionary game the species relative fitnesses guides the evolutionary dynamics…

概率论 · 数学 2020-12-29 Lea Popovic , Liam Peuckert

Mathematical modelling of the evolution of the size-spectrum dynamics in aquatic ecosystems was discovered to be a powerful tool to have a deeper insight into impacts of human- and environmental driven changes on the marine ecosystem. In…

偏微分方程分析 · 数学 2024-01-02 Laura Kanzler , Benoit Perthame , Benoit Sarels

We develop a discrete-event modeling framework that captures the progression of geophysical systems toward catastrophic failure through sequences of distinct damage events. By representing system evolution as a succession of temporally…

地球物理 · 物理学 2025-07-31 Qinghua Lei , Didier Sornette

Interpretation of empirical results based on a taxa's lifetime distribution shows apparently conflicting results. Species' lifetime is reported to be exponentially distributed, whereas higher order taxa, such as families or genera, follow a…

种群与进化 · 定量生物学 2009-11-11 S. Pigolotti , A. Flammini , M. Marsili , A. Maritan

A simplified form of the time dependent evolutionary dynamics of a quasispecies model with a rugged fitness landscape is solved via a mapping onto a random flux model whose asymptotic behavior can be described in terms of a random walk. The…

统计力学 · 物理学 2009-11-11 Clement Sire , Satya N. Majumdar , David S. Dean

Biological systems are modular, and this modularity evolves over time and in different environments. A number of observations have been made of increased modularity in biological systems under increased environmental pressure. We here…

种群与进化 · 定量生物学 2015-01-07 Jeong-Man Park , Liang Ren Niestemski , Michael W. Deem

Evolution by Natural Selection is a process by which progeny inherit some properties from their progenitors with small variation. These properties are subject to Natural Selection and are called adaptive traits and carriers of the latter…

偏微分方程分析 · 数学 2024-01-29 Gonzalo Galiano , Yosef Cohen

Several pathogens use evolvability as a survival strategy against acquired immunity of the host. Despite their high variability in time, some of them exhibit quite low variability within the population at any given time, a somehow…

种群与进化 · 定量生物学 2011-08-31 Ginestra Bianconi , Davide Fichera , Silvio Franz , Luca Peliti

We present an individual based model of evolutionary ecology. The reproduction rate of individuals characterized by their genome depends on the composition of the population in genotype space. Ecological features such as the taxonomy and…

统计力学 · 物理学 2016-08-31 Matt Hall , Kim Christensen , Simone A. di Collobiano , Henrik Jeldtoft Jensen

The process of evolutionary emergence of purposeful adaptive behavior is investigated by means of computer simulations. The model proposed implies that there is an evolving population of simple agents, which have two natural needs: energy…

神经与进化计算 · 计算机科学 2007-05-23 Mikhail S. Burtsev , Vladimir G. Redko , Roman V. Gusarev

Constraints on changes in expression levels across all cell components imposed by the steady growth of cells have recently been discussed both experimentally and theoretically. By assuming a small environmental perturbation and considering…

种群与进化 · 定量生物学 2018-04-18 Chikara Furusawa , Kunihiko Kaneko