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Continuously changing environments have a paramount role in the evolution of cooperative behavior. Previous works have shown that the transitions among different games, as the feedback between behaviors and environments, can promote…

物理与社会 · 物理学 2026-03-25 Yuji Zhang , Minyu Feng , Qin Li , Matjaz Perc , Attila Szolnoki

The environment has a strong influence on a population's evolutionary dynamics. Driven by both intrinsic and external factors, the environment is subject to continual change in nature. To capture an ever-changing environment, we consider a…

种群与进化 · 定量生物学 2022-02-18 Qi Su , Alex McAvoy , Long Wang , Martin A. Nowak

Evolution occurs in populations of reproducing individuals. Reproduction depends on the payoff a strategy receives. The payoff depends on the environment that may change over time, on intrinsic uncertainties, and on other sources of…

种群与进化 · 定量生物学 2018-02-05 Frank Stollmeier , Jan Nagler

In biology and ecology, individuals or communities of individuals living in unpredictable environments often alternate between different evolutionary strategies to spread and reduce risks. Such behavior is commonly referred to as…

种群与进化 · 定量生物学 2015-03-11 Jorge Hidalgo , Simone Pigolotti , Miguel A. Munoz

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

The dynamics of species' densities depend both on internal and external variables. Internal variables include frequencies of individuals exhibiting different phenotypes or living in different spatial locations. External variables include…

种群与进化 · 定量生物学 2019-03-28 Michel Benaïm , Sebastian J. Schreiber

We discuss stochastic dynamics of populations of individuals playing games. Our models possess two evolutionarily stable strategies: an efficient one, where a population is in a state with the maximal payoff (fitness) and a risk-dominant…

种群与进化 · 定量生物学 2007-05-23 Jacek Miekisz

We propose a hybrid dynamical system approach to model the evolution of a pathogen that experiences different selective pressures according to a stochastic process. In every environment, the evolution of the pathogen is described by a…

经典分析与常微分方程 · 数学 2019-03-25 Jozsef Z. Farkas , Peter Hinow , Jan Engelstädter

Strategies aimed at reducing the negative effects of long-term uncertainty and risk are common in biology, game theory, and finance, even if they entail a cost in terms of mean benefit. Here, we focus on the single mutant's invasion of a…

种群与进化 · 定量生物学 2024-09-25 Rubén Calvo Ibáñez , Miguel Ángel Muñoz , Tobias Galla

Dynamic environments shape diverse dynamics in evolutionary game systems. We introduce spatial heterogeneity of resources into the prisoner's dilemma game model to explore coevolutionary game dynamics with environmental feedback. The…

种群与进化 · 定量生物学 2025-02-17 Yi-Duo Chen , Jian-Yue Guan , Zhi-Xi Wu

Frequency dependent selection and demographic fluctuations play important roles in evolutionary and ecological processes. Under frequency dependent selection, the average fitness of the population may increase or decrease based on…

种群与进化 · 定量生物学 2015-06-23 Weini Huang , Christoph Hauert , Arne Traulsen

In evolutionary games the fitness of individuals is not constant but depends on the relative abundance of the various strategies in the population. Here we study general games among n strategies in populations of large but finite size. We…

种群与进化 · 定量生物学 2009-05-16 Tibor Antal , Arne Traulsen , Hisashi Ohtsuki , Corina E. Tarnita , Martin A. Nowak

We study the emergency of mutual cooperation in evolutionary prisoner's dilemma games when the players are located on a square lattice. The players can choose one of the three strategies: cooperation (C), defection (D) or "tit for tat" (T),…

统计力学 · 物理学 2015-06-24 Gyorgy Szabo , Tibor Antal , Peter Szabo , Michel Droz

Interactions among individuals in natural populations often occur in a dynamically changing environment. Understanding the role of environmental variation in population dynamics has long been a central topic in theoretical ecology and…

种群与进化 · 定量生物学 2021-05-18 Feng Huang , Ming Cao , Long Wang

The hawk-dove game admits two types of equilibria: an asymmetric pure equilibrium in which players in one population play hawk and players in the other population play dove, and an inefficient symmetric mixed equilibrium, in which hawks are…

理论经济学 · 经济学 2022-06-17 Srinivas Arigapudi , Yuval Heller , Amnon Schreiber

Spatial structure can play an important role in the evolution of cooperative behavior and the achievement of collective success of a population. In this paper, we explore the role of random and directed motion on spatial pattern formation…

种群与进化 · 定量生物学 2025-09-26 Tianyong Yao , Chenning Xu , Daniel B. Cooney

Spatial evolutionary games model individuals who are distributed in a spatial domain and update their strategies upon playing a normal form game with their neighbors. We derive integro-differential equations as deterministic approximations…

概率论 · 数学 2010-07-06 Sung-Ha Hwang , Markos Katsoulakis , Luc Rey-Bellet

In the animal world, the competition between individuals belonging to different species for a resource often requires the cooperation of several individuals in groups. This paper proposes a generalization of the Hawk-Dove Game for an…

物理与社会 · 物理学 2017-02-15 Wei Chen , Carlos Gracia-Lazaro , Zhiwu Li , Long Wang , Yamir Moreno

Classical models for competition between two species usually predict exclusion or divergent evolution of resource exploitation. However, recent experimental data show that coexistence is possible for very similar species competing for the…

种群与进化 · 定量生物学 2009-11-13 I. C. Charret , J. N. C. Louzada , A. T. Costa

We propose a new evolutionary dynamics for population games with a discrete strategy set, inspired by the theory of optimal transport and Mean field games. The dynamics can be described as a Fokker-Planck equation on a discrete strategy…

最优化与控制 · 数学 2018-11-14 Shui-Nee Chow , Wuchen Li , Jun Lu , Haomin Zhou
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