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We study the evolutionary dynamics of games under environmental feedback using replicator equations for two interacting populations. One key feature is to consider jointly the co-evolution of the dynamic payoff matrices and the state of the…

种群与进化 · 定量生物学 2021-05-20 Lulu Gong , Jian Gao , Ming Cao

We investigate extinction dynamics in the paradigmatic model of two competing species A and B that reproduce (A-->2A, B-->2B), self-regulate by annihilation (2A-->0, 2B-->0), and compete (A+B-->A, A+B-->B). For a finite system that is in…

统计力学 · 物理学 2014-08-06 Alan Gabel , Baruch Meerson , S. Redner

The distributions of species lifetimes and species in space are related, since species with good local survival chances have more time to colonize new habitats and species inhabiting large areas have higher chances to survive local…

种群与进化 · 定量生物学 2019-02-18 Tobias Rogge , David Jones , Barbara Drossel , Korinna T. Allhoff

Simulations of the coevolution of many interacting species are performed using the Webworld model. The model has a realistic set of predator-prey equations that describe the population dynamics of the species for any structure of the food…

适应与自组织系统 · 物理学 2007-05-23 Christopher Quince , Paul G. Higgs , Alan J. McKane

A class of models for large-scale evolution and mass extinctions is presented. These models incorporate environmental changes on all scales, from influences on a single species to global effects. This is a step towards a unified picture of…

adap-org · 物理学 2007-05-23 C. Wilke , S. Altmeyer , T. Martinetz

We study the stochastic evolution of four species in cyclic competition in a well mixed environment. In systems composed of a finite number $N$ of particles these simple interaction rules result in a rich variety of extinction scenarios,…

统计力学 · 物理学 2012-07-09 C. H. Durney , S. O. Case , M. Pleimling , R. K. P. Zia

A reaction--diffusion replicator equation is studied. A novel method to apply the principle of global regulation is used to write down the model with explicit spatial structure. Properties of stationary solutions together with their…

种群与进化 · 定量生物学 2013-08-28 Artem S. Novozhilov , Vladimir P. Posvyanskii , Alexander S. Bratus

Time evolution of number of species (genera, families, and others), population of them, and size distribution of present ones and life times are studied in terms of a new model, where population of each genetic taxon increases by a (random)…

种群与进化 · 定量生物学 2007-05-23 Caglar Tuncay

A central goal in ecology is to understand how biodiversity is maintained. Previous theoretical works have employed the rock-paper-scissors (RPS) game as a toy model, demonstrating that population mobility is crucial in determining the…

种群与进化 · 定量生物学 2026-05-21 Kaiwen Jiang , Chenyang Zhao , Shengfeng Deng , Weiran Cai , Jiqiang Zhang , Li Chen

We investigate the formation of stable ecological networks where many species share the same resource. We show that such stable ecosystem naturally occurs as a result of extinctions. We obtain an analytical relation for the number of…

种群与进化 · 定量生物学 2017-04-05 V. Kozlov , S. Vakulenko , U. Wennergren

Simulation of population dynamics is a central research theme in computational biology, which contributes to understanding the interactions between predators and preys. Conventional mathematical tools of this theme, however, are incapable…

多智能体系统 · 计算机科学 2020-02-11 Jun Yamada , John Shawe-Taylor , Zafeirios Fountas

A mathematical model of interacting species filling ecological niches left by the extinction of others is introduced. Species organize themselves into genera of all sizes. The size of a genus on average grows linearly with its age,…

凝聚态物理 · 物理学 2008-02-03 Susanna Manrubia , Maya Paczuski

People tend to align their use of language to the linguistic behaviour of their own ingroup and to simultaneously diverge from the language use of outgroups. This paper proposes to model this phenomenon of sociolinguistic identity…

物理与社会 · 物理学 2020-11-25 Henri Kauhanen

A system of replicators with Hebbian random couplings is studied using dynamical methods. The self-reproducing species are here characterized by a set of binary traits and interact based on complementarity. In the case of an extensive…

无序系统与神经网络 · 物理学 2009-11-11 Tobias Galla

Lotka-Volterra (LV) equations play a key role in the mathematical modeling of various ecological, biological and chemical systems. When the number of species (or, depending on the viewpoint, chemical components) becomes large, basic but…

概率论 · 数学 2022-05-03 Maxime Clenet , François Massol , Jamal Najim

We propose a simple model of network co-evolution in a game-dynamical system of interacting agents that play repeated games with their neighbors, and adapt their behaviors and network links based on the outcome of those games. The…

计算机科学与博弈论 · 计算机科学 2011-07-28 Aram Galstyan , Ardeshir Kianercy , Armen Allahverdyan

In any ecosystem, the conditions of the environment and the characteristics of the species that inhabit it are entangled, co-evolving in space and time. We introduce a model that couples active agents with a dynamic environment, interpreted…

种群与进化 · 定量生物学 2025-12-10 G. Briozzo , G. J. Sibona , F. Peruani

Ecosystems dynamics is often considered as driven by a coupling of species' resource consumption and its population size dynamics. Such resource-population dynamics is captured by MacArthur-type models. One biologically relevant feature…

种群与进化 · 定量生物学 2023-07-10 Elena Bellavere , Christian H. S. Hamster , Joshua A. Dijksman

Due to the relevance for conservation biology, there is an increasing interest to extend evolutionary genomics models to plant, animal or microbial species. However, this requires to understand the effect of life-history traits absent in…

种群与进化 · 定量生物学 2021-11-16 Johannes Müller , Aurélien Tellier

We discuss a simple model of co-evolution. In order to emphasise the effect of interaction between individuals the entire population is subjected to the same physical environment. Species are emergent structures and extinction, origination…

统计力学 · 物理学 2007-05-23 Kim Christensen , Simone A. di Collobiano , Matt Hall , Henrik J. Jensen