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We study a variant of the cyclic Lotka-Volterra model with three-agent interactions. Inspired by a multiplayer variation of the Rock-Paper-Scissors game, the model describes an ideal ecosystem in which cyclic competition among three species…

种群与进化 · 定量生物学 2020-10-09 Filippo Palombi , Stefano Ferriani , Simona Toti

The prototype of a cyclic dominant system is the so-called rock-scissors-paper game, but similar relation among competing strategies can be identified in several other models of evolutionary game theory. In this work we assume that a…

物理与社会 · 物理学 2020-06-11 Attila Szolnoki , Xiaojie Chen

Stochastic, spatially extended models for predator-prey interaction display spatio-temporal structures that are not captured by the Lotka-Volterra mean-field rate equations. These spreading activity fronts reflect persistent correlations…

统计力学 · 物理学 2024-05-09 Uwe C. Täuber

When faced with an imminent risk of predation, many animals react to escape consumption. Antipredator strategies are performed by individuals acting as a group to intimidate predators and minimize the damage when attacked. We study the…

种群与进化 · 定量生物学 2021-06-02 J. Menezes

This paper presents a study of the two-predators-two-preys discrete-time Lotka-Volterra model with self- inhibition terms for preys with direct applications to ecological problems. Parameters in the model are modified so that each of them…

动力系统 · 数学 2012-11-27 Hanbaek Lyu , Piotr Grzegorz Jablonski

In this work, we examine a kinetic framework for modeling the time evolution of size distribution densities of two populations governed by predator-prey interactions. The model builds upon the classical Boltzmann-type equations, where the…

偏微分方程分析 · 数学 2025-11-27 Andrea Bondesan , Marco Menale , Giuseppe Toscani , Mattia Zanella

Cyclic dominance of species has been identified as a potential mechanism to maintain biodiversity, see e.g. B. Kerr, M. A. Riley, M. W. Feldman and B. J. M. Bohannan [Nature {\bf 418}, 171 (2002)] and B. Kirkup and M. A. Riley [Nature {\bf…

种群与进化 · 定量生物学 2007-05-23 Tobias Reichenbach , Mauro Mobilia , Erwin Frey

The study of interactions between multiple species in an ecosystem is an active and impactful direction of inquiry. This is true in particular for fragile systems in which even small perturbations of their functional parameters can produce…

种群与进化 · 定量生物学 2025-01-14 Anca Radulescu , Richard Halpern , Drew Kozlowski , Conor O'Riordan

In this monograph, we introduce a new model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility. The interactions among these populations are described not in terms of…

偏微分方程分析 · 数学 2024-07-30 Elisa Affili , Serena Dipierro , Luca Rossi , Enrico Valdinoci

It is well-established that including spatial structure and stochastic noise in models for predator-prey interactions invalidates the classical deterministic Lotka-Volterra picture of neutral population cycles. In contrast, stochastic…

种群与进化 · 定量生物学 2011-09-20 Uwe C. Tauber

We study several variants of the stochastic four-state rock-paper-scissors game or, equivalently, cyclic three-species predator-prey models with conserved total particle density, by means of Monte Carlo simulations on one- and…

种群与进化 · 定量生物学 2010-11-13 Qian He , Mauro Mobilia , Uwe C. Täuber

This paper treats a random collision model of three species, which is represented by the random time change of three standard Poisson processes. The prey-predator relation in the random collision model looks like paper-scissors-stone game,…

概率论 · 数学 2025-07-02 Yasunori Okabe , Hajime Mano , Yoshiaki Itoh

We revisit the problem of the predominance of the 'weakest' species in the context of Lotka-Volterra and May-Leonard implementations of a spatial stochastic rock-paper-scissors model in which one of the species has its predation probability…

种群与进化 · 定量生物学 2019-10-16 P. P. Avelino , B. F. de Oliveira , R. S. Trintin

We propose a model for the dynamics of frequencies of a costly defense trait. More precisely, we consider Lotka-Volterra-type models involving a prey (or host) population consisting of two types and a predator (or parasite) population,…

概率论 · 数学 2022-06-22 Martin Hutzenthaler , Felix Jordan , Dirk Metzler

We investigate a modified spatial stochastic Lotka-Volterra formulation of the rock-paper-scissors model using off-lattice stochastic simulations. In this model one of the species moves preferentially in a specific direction -- the level of…

种群与进化 · 定量生物学 2021-02-03 P. P. Avelino , B. F. de Oliveira , J. V. O. Silva

We study a four species ecological system with cyclic dominance whose individuals are distributed on a square lattice. Randomly chosen individuals migrate to one of the neighboring sites if it is empty or invade this site if occupied by…

种群与进化 · 定量生物学 2009-11-10 Gyorgy Szabo , Gustavo Arial Sznaider

We investigate spatially inhomogeneous versions of the stochastic Lotka-Volterra model for predator-prey competition and coexistence by means of Monte Carlo simulations on a two-dimensional lattice with periodic boundary conditions. To…

统计力学 · 物理学 2017-10-13 Bassel Heiba , Sheng Chen , Uwe C. Täuber

We investigate the population dynamics in generalized Rock-Paper-Scissors models with an arbitrary number of species $N$. We show, for the first time, that spiral patterns with $N$-arms may develop both for odd and even $N$, in particular…

生物物理 · 物理学 2012-10-16 P. P. Avelino , D. Bazeia , L. Losano , J. Menezes , B. F. Oliveira

We perform an analysis of a recent spatial version of the classical Lotka-Volterra model, where a finite scale controls individuals' interaction. We study the behavior of the predator-prey dynamics in physical spaces higher than one,…

种群与进化 · 定量生物学 2012-08-21 E. Brigatti , M. Núñez-López , M. Oliva

The population protocol model describes collections of distributed agents that interact in pairs to solve a common task. We consider a dynamic variant of this prominent model, where we assume that an adversary may change the population size…

分布式、并行与集群计算 · 计算机科学 2024-05-09 Dominik Kaaser , Maximilian Lohmann
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