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The observed cooperation on the level of genes, cells, tissues, and individuals has been the object of intense study by evolutionary biologists, mainly because cooperation often flourishes in biological systems in apparent contradiction to…

种群与进化 · 定量生物学 2010-10-21 Dimitris Iliopoulos , Arend Hintze , Christoph Adami

Random neural networks are dynamical descriptions of randomly interconnected neural units. These show a phase transition to chaos as a disorder parameter is increased. The microscopic mechanisms underlying this phase transition are unknown,…

数学物理 · 物理学 2013-03-18 Gilles Wainrib , Jonathan Touboul

We discuss the feasibility of predicting, managing and subsequently manipulating, the future evolution of a Complex Adaptive System. Our archetypal system mimics a population of adaptive, interacting objects, such as those arising in the…

物理与社会 · 物理学 2007-05-23 David M. D. Smith , Neil F. Johnson

When a biological system robustly corrects component-level errors, the direct pressure on component performance declines. Components may become less reliable, maintain more genetic variability, or drift neutrally in design, creating the…

种群与进化 · 定量生物学 2023-12-27 Steven A. Frank

The existence of beyond mean field quasi-cycle oscillations in a simple spatial model of predator prey interactions is derived from a path integral formalism. The results agree substantially with those obtained from analysis of similar…

种群与进化 · 定量生物学 2009-11-13 Thomas Butler , David Reynolds

Formation and competition of associations are studied in a six-species ecological model where each species has two predators and two prey. Each site of a square lattice is occupied by an individual belonging to one of the six species. The…

种群与进化 · 定量生物学 2008-08-26 G. Szabo , A. Szolnoki , I. Borsos

The fast changing reality in technical and natural domains perceived by always more accurate observations has drawn attention on new and very broad class of systems with specific behaviour represented under the common wording complexity.…

适应与自组织系统 · 物理学 2007-06-06 Michel Cotsaftis

Using Monte Carlo simulations we study two-dimensional prey-predator systems. Measuring the variance of densities of prey and predators on the triangular lattice and on the lattice with eight neighbours, we conclude that temporal…

统计力学 · 物理学 2009-11-07 Małgorzata Kowalik , Adam Lipowski , Antonio L. Ferreira

Cooperative behaviors are deeply embedded in structured biological and social systems. Networks are often employed to portray pairwise interactions among individuals, where network nodes represent individuals and links indicate who…

物理与社会 · 物理学 2025-01-14 Jiachao Guo , Yao Meng , Aming Li

We compare and contrast the long-time dynamical properties of two individual-based models of biological coevolution. Selection occurs via multispecies, stochastic population dynamics with reproduction probabilities that depend nonlinearly…

种群与进化 · 定量生物学 2011-11-10 Per Arne Rikvold

Geographic ranges of communities of species evolve in response to environmental, ecological, and evolutionary forces. Understanding the effects of these forces on species' range dynamics is a major goal of spatial ecology. Previous…

种群与进化 · 定量生物学 2022-02-02 Farshad Shirani , Judith R. Miller

We characterize the different morphological phases that occur in a simple one-dimensional model of propagation of innovations among economic agents [X.\ Guardiola, {\it et. al.}, Phys. Rev E {\bf 66}, 026121 (2002)]. We show that the model…

统计力学 · 物理学 2009-11-10 M. Llas , P. M. Gleiser , J. M. Lopez , A. Diaz-Guilera

We introduce and analyse an individual-based evolutionary model, in which a population of genetically diverse organisms compete with each other for limited resources. Through theoretical analysis and stochastic simulations, we show that the…

种群与进化 · 定量生物学 2012-11-02 Tim Rogers , Alan J. McKane , Axel G. Rossberg

Oscillatory dynamics are common features of complex networks, often playing essential roles in regulating function. Across scales from gene regulatory networks to ecosystems, delayed feedback mechanisms are key drivers of system-scale…

无序系统与神经网络 · 物理学 2026-03-06 Shijie Liu , Jinliang Han , Jianming Liu , Tim Rogers , Yongzheng Sun

A common theme among the proposed models for network epidemics is the assumption that the propagating object, i.e., a virus or a piece of information, is transferred across the nodes without going through any modification or evolution.…

物理与社会 · 物理学 2019-11-05 Rashad Eletreby , Yong Zhuang , Kathleen M. Carley , Osman Yağan , H. Vincent Poor

Investigating relation between various structural patterns found in real-world networks and stability of underlying systems is crucial to understand importance and evolutionary origin of such patterns. We evolve multiplex networks,…

适应与自组织系统 · 物理学 2017-02-22 Sanjiv K. Dwivedi , Sarika Jalan

A profound challenge for A-Life is to construct agents whose behavior is 'life-like' in a deep way. We propose an architecture and approach to constructing networks driving artificial agents, using processes analogous to the processes that…

神经与进化计算 · 计算机科学 2022-02-01 Addison Wood , Jory Schossau , Nick Sabaj , Richard Liu , Mark Reimers

Honest signals and cues have been observed as part of interspecific and intraspecific communication among animals. Recent theories suggest that existing signaling systems have evolved through natural selection imposed by predators. Honest…

种群与进化 · 定量生物学 2020-03-02 Ahd Mahmoud Al-Salman , Joseph Páez Chávez , Karunia Putra Wijaya

We are interested in modeling some two-level population dynamics, resulting from the interplay of ecological interactions and phenotypic variation of individuals (or hosts) and the evolution of cells (or parasites) of two types living in…

概率论 · 数学 2011-01-21 Sylvie Méléard , Sylvie Roelly

In an adaptive population which models financial markets and distributed control, we consider how the dynamics depends on the diversity of the agents' initial preferences of strategies. When the diversity decreases, more agents tend to…

物理与社会 · 物理学 2008-12-02 H. M. Yang , Y. S. Ting , K. Y. Michael Wong
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