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From the formation of snowflakes to the evolution of diverse life forms, emergence is ubiquitous in our universe. In the quest to understand how complexity can arise from simple rules, abstract computational models, such as cellular…

神经与进化计算 · 计算机科学 2024-06-07 Maxence Faldor , Antoine Cully

Anthropogenic activity threatens biodiversity through climate change, habitat fragmentation, and increasing frequency and scale of disturbance. Various theoretical studies have sought to shed light on how these factors could promote or…

种群与进化 · 定量生物学 2026-04-01 Isaac Planas-Sitjà , Ryosuke Iritani , Adam L. Cronin

Complex networks serve as abstract models for understanding real-world complex systems and provide frameworks for studying structured dynamical systems. This article addresses limitations in current studies on the exploration of individual…

社会与信息网络 · 计算机科学 2025-10-14 Bin Pi , Liang-Jian Deng , Minyu Feng , Matjaž Perc , Jürgen Kurths

We study a version of the Tangled Nature model of evolutionary ecology redefined in a phenotype space where mutants have properties correlated to their parents. The model has individual-based dynamics whilst incorporating species scale…

种群与进化 · 定量生物学 2016-09-08 Simon Laird , Henrik Jeldtoft Jensen

Of all the issues discussed at {\em Alife VII: Looking Forward, Looking Backward}, the issue of whether it was possible to create an artificial life system that exhibits {\em open-ended evolution} of novelty is by far the biggest. Of the 14…

适应与自组织系统 · 物理学 2007-05-23 Russell K. Standish

The idea that there are any large-scale trends in the evolution of biological organisms is highly controversial. It is commonly believed, for example, that there is a large-scale trend in evolution towards increasing complexity, but…

神经与进化计算 · 计算机科学 2021-06-08 Peter D. Turney

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

A new delay equation is introduced to describe the punctuated evolution of complex nonlinear systems. A detailed analytical and numerical investigation provides the classification of all possible types of solutions for the dynamics of a…

适应与自组织系统 · 物理学 2015-05-13 V. I. Yukalov , E. P. Yukalova , D. Sornette

The myriad microscopic interactions among the individual organisms that constitute an ecological system collectively give rise, at the macroscopic scale, to evolutionary trends. The ability to detect the directionality of such trends is…

种群与进化 · 定量生物学 2025-07-21 Andrea Marchetti , Henrik Jeldtoft Jensen

Motivated by a recent article on open problems in artificial life, here I postulate three laws which form a mathematical framework to describe artificial life evolutionary dynamics. They are based on a continuous approximation of population…

适应与自组织系统 · 物理学 2007-05-23 P. Ao

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

There has been a long debate on how new levels of organization have evolved. It might seem unlikely, as cooperation must prevail over competition. One well-studied example is the emergence of autocatalytic sets, which seem to be a…

种群与进化 · 定量生物学 2026-02-16 Sean P. Maley , Carlos Gershenson , Stuart A. Kauffman

The continuity of life and its evolution, we proposed, emerge from an interactive group process manifested in networks of interaction. We term this process \textit{survival-of-the-fitted}. Here, we reason that survival of the fitted results…

神经与进化计算 · 计算机科学 2025-06-17 Irun R. Cohen , Assaf Marron

Systems evolving according to the standard concept of biological or technological evolution are often described by catalytic evolution equations. We study the structure of these equations and find a deep relationship to classical…

物理与社会 · 物理学 2007-05-23 Rudolf Hanel , Stuart A. Kauffman , Stefan Thurner

A biologically motivated individual-based framework for evolution in network-structured populations is developed that can accommodate eco-evolutionary dynamics. This framework is used to construct a network birth and death model. The…

种群与进化 · 定量生物学 2021-03-19 Karan Pattni , Christopher E. Overton , Kieran J. Sharkey

Humankind has spread worldwide supported by cultural and technological knowledge, but the environmental sustainability on the human niche evolution depends on a new human beings relationship with the biosphere. Human lifestyles nowadays are…

种群与进化 · 定量生物学 2022-01-03 Miguel da Silva Pinheiro , Pablo José Francisco Pena Rodrigues

We present an individual based model of evolutionary ecology. The reproduction rate of individuals characterized by their genome depends on the composition of the population in genotype space. Ecological features such as the taxonomy and…

统计力学 · 物理学 2016-08-31 Matt Hall , Kim Christensen , Simone A. di Collobiano , Henrik Jeldtoft Jensen

Populations of species in ecosystems are often constrained by availability of resources within their environment. In effect this means that a growth of one population, needs to be balanced by comparable reduction in populations of others.…

种群与进化 · 定量生物学 2016-02-17 Sergei Maslov , Kim Sneppen

We view Digital Ecosystems to be the digital counterparts of biological ecosystems, which are considered to be robust, self-organising and scalable architectures that can automatically solve complex, dynamic problems. So, this work is…

多智能体系统 · 计算机科学 2009-10-06 Gerard Briscoe

Mixed microbial communities, usually composed of various bacterial and fungal species, are fundamental in a plethora of environments, from soil to human gut and skin. Their evolution is a paradigmatic example of intertwined dynamics, where…

种群与进化 · 定量生物学 2022-07-01 Andrea Roli , Stuart A. Kauffman