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相关论文: Non-local Interaction Effects on Pattern Formation…

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We consider a couple of models for the dynamics of the populations of two interacting species, inspired by Lotka-Volterra's classical equations. The novelty of this work is that the interaction terms are non local and the interaction occurs…

种群与进化 · 定量生物学 2022-09-21 Mario I. Simoy , Marcelo N. Kuperman

Simple analytic considerations are applied to recently discovered patterns in a generalized Fisher equation for population dynamics. The generalization consists of the inclusion of non-local competition interactions among individuals. We…

斑图形成与孤子 · 物理学 2007-05-23 M. A. Fuentes , M. N. Kuperman , V. M. Kenkre

We introduce and analyze a spatial Lotka-Volterra competition model with local and nonlocal interactions. We study two alternative classes of nonlocal competition that differ in how each species' characteristics determine the range of the…

种群与进化 · 定量生物学 2021-07-14 Gabriel Andreguetto Maciel , Ricardo Martinez-Garcia

In this paper, we inspect well-known population genetics and social dynamics models. In these models, interacting individuals, while participating in a self-organizing process, give rise to the emergence of complex behaviors and patterns.…

种群与进化 · 定量生物学 2012-07-11 Sven Banisch , Tanya Araújo

Organisms from microbes to humans engage in a variety of social behaviors, which affect fitness in complex, often nonlinear ways. The question of how these behaviors evolve has consequences ranging from antibiotic resistance to human…

The evolution of cooperation often depends upon population structure, yet nearly all models of cooperation implicitly assume that this structure remains static. This is a simplifying assumption, because most organisms possess genetic traits…

种群与进化 · 定量生物学 2012-08-03 Simon T. Powers , Alexandra S. Penn , Richard A. Watson

In bio-social models, cooperative behaviour has evolved as an adaptive strategy, playing multi-functional roles. One of such roles in populations is to increase the success of survival and reproduction of individuals and their families or…

动力系统 · 数学 2024-06-18 Sangeeta Saha , Swadesh Pal , Roderick Melnik

Interactions among living organisms, from bacteria colonies to human societies, are inherently more complex than interactions among particles and nonliving matter. Group interactions are a particularly important and widespread class,…

物理与社会 · 物理学 2013-01-11 Matjaz Perc , Jesús Gómez-Gardeñes , Attila Szolnoki , Luis M. Floría , Yamir Moreno

Bacteria regulate their motility through a variety of mechanisms, including quorum sensing (QS) and other density-dependent responses mediated by diffusible signals. While nonlinear density-dependent motility is well known in active-matter…

种群与进化 · 定量生物学 2026-01-21 Mattia Mattei , David Soriano-Paños , Alex Arenas

To describe population dynamics, it is crucial to take into account jointly evolution mechanisms and spatial motion. However, the models which include these both aspects, are not still well-understood. Can we extend the existing results on…

偏微分方程分析 · 数学 2014-01-07 Hélène Leman , Sylvie Meleard , Sepideh Mirrahimi

In order to better understand the interplay of partnership and competition in population dynamics we study a family of generalized May-Leonard models with $N$ species. These models have a very rich structure, characterized by different…

统计力学 · 物理学 2013-04-01 Ahmed Roman , Debanjan Dasgupta , Michel Pleimling

Throughout developmental biology and ecology, transport can be driven by nonlocal interactions. Examples include cells that migrate based on contact with pseudopodia extended from other cells, and animals that move based on their vision of…

斑图形成与孤子 · 物理学 2023-07-07 Thomas Jun Jewell , Andrew L. Krause , Philip K. Maini , Eamonn A. Gaffney

This chapter investigates some mechanisms behind pattern formation driven by competitive-only or repelling interactions, and explores how these patterns are influenced by different types of particle movement. Despite competition and…

种群与进化 · 定量生物学 2025-03-05 Cristóbal López , Eduardo H. Colombo , Emilio Hernández-García , Ricardo Martinez-Garcia

The sampling of interaction partners depends on often implicit modelling assumptions, yet has marked effects on the dynamics in evolutionary games. One particularly important aspect is whether or not competitors also interact. Population…

种群与进化 · 定量生物学 2018-11-20 Christoph Hauert , Jacek Miȩkisz

People tend to have their social interactions with members of their own community. Such group-structured interactions can have a profound impact on the behaviors that evolve. Group structure affects the way people cooperate, and how they…

种群与进化 · 定量生物学 2022-11-09 Yohsuke Murase , Christian Hilbe , Seung Ki Baek

An organism that is newly introduced into an existing population has a survival probability that is dependent on both the population density of its environment and the competition it experiences with the members of that population.…

种群与进化 · 定量生物学 2024-12-17 Jason M. Gray , Rowan J. Barker-Clarke , Jacob G. Scott , Michael Hinczewski

Reputation plays a crucial role in social interactions by affecting the fitness of individuals during an evolutionary process. Previous works have extensively studied the result of imitation dynamics without focusing on potential irrational…

物理与社会 · 物理学 2024-04-24 Kehuan Feng , Songlin Han , Minyu Feng , Attila Szolnoki

In the present work we extend the Bak-Sneppen model for biological evolution by introducing local interactions between species. This ``environmental'' perturbation can modify the intrinsic fitness of each element of the ecology, leading to…

其他凝聚态物理 · 物理学 2010-10-14 M. Bartolozzi , D. B. Leinweber , A. W. Thomas

Biological and social systems are structured at multiple scales, and the incentives of individuals who interact in a group may diverge from the collective incentive of the group as a whole. Mechanisms to resolve this tension are responsible…

种群与进化 · 定量生物学 2023-05-31 Daniel B. Cooney , Simon A. Levin , Yoichiro Mori , Joshua B. Plotkin

We discuss several models of the dynamics of interacting populations. The models are constructed by nonlinear differential equations and have two sets of parameters: growth rates and coefficients of interaction between populations. We…

适应与自组织系统 · 物理学 2013-07-29 Nikolay K. Vitanov , Zlatinka I. Dimitrova
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