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The increasing volume of ecologically and biologically relevant data has revealed a wide collection of emergent patterns in living systems. Analyzing different datasets, ranging from metabolic gene-regulatory to species interaction…

Physics and Society · Physics 2019-12-13 Daniel M. Busiello , Samir Suweis , Jorge Hidalgo , Amos Maritan

The structure of ecological networks, in particular food webs, determines their ability to evolve further, i.e. evolvability. The knowledge about how food web evolvability is determined by the structures of diverse ecological networks can…

Populations and Evolution · Quantitative Biology 2015-07-13 Jianxi Luo

Phenotype of biological systems needs to be robust against mutation in order to sustain themselves between generations. On the other hand, phenotype of an individual also needs to be robust against fluctuations of both internal and external…

Populations and Evolution · Quantitative Biology 2015-06-26 Kunihiko Kaneko

It has been hypothesized that one of the main reasons evolution has been able to produce such impressive adaptations is because it has improved its own ability to evolve -- "the evolution of evolvability". Rupert Riedl, for example, an…

Populations and Evolution · Quantitative Biology 2016-12-20 Loizos Kounios , Jeff Clune , Kostas Kouvaris , Günter P. Wagner , Mihaela Pavlicev , Daniel M. Weinreich , Richard A. Watson

The characterization of plasticity, robustness, and evolvability, an important issue in biology, is studied in terms of phenotypic fluctuations. By numerically evolving gene regulatory networks, the proportionality between the phenotypic…

Populations and Evolution · Quantitative Biology 2015-06-15 Kunihiko Kaneko

Neutral landscapes and mutational robustness are believed to be important enablers of evolvability in biology. We apply these concepts to software, defining mutational robustness to be the fraction of random mutations that leave a program's…

Software Engineering · Computer Science 2013-06-28 Eric Schulte , Zachary P. Fry , Ethan Fast , Westley Weimer , Stephanie Forrest

The possibility that evolutionary forces -- together with a few fundamental factors such as thermodynamic constraints, specific computational features enabling information processing, and ecological processes -- might constrain the logic of…

Biological Physics · Physics 2025-12-30 Manlio De Domenico

Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolvability and demonstrates that, under certain conditions, evolvability can increase indefinitely, even when there is no direct selection for…

Neural and Evolutionary Computing · Computer Science 2007-05-23 Peter D. Turney

The role of historical contingency in the origin of life is one of the great unknowns in modern science. Only one example of life exists--one that proceeded from a single self-replicating organism (or a set of replicating hyper-cycles) to…

Populations and Evolution · Quantitative Biology 2016-12-07 Thomas LaBar , Arend Hintze , Christoph Adami

Biological functions are generated as a result of developmental dynamics that form phenotypes governed by genotypes. The dynamical system for development is shaped through genetic evolution following natural selection based on the fitness…

Populations and Evolution · Quantitative Biology 2009-11-13 Kunihiko Kaneko

Evolvability is defined as the ability of a population to generate heritable variation to facilitate its adaptation to new environments or selection pressures. In this article, we consider evolvability as a phenotypic trait subject to…

Populations and Evolution · Quantitative Biology 2025-06-03 Juan Jiménez-Sánchez , Carmen Ortega-Sabater , Philip K. Maini , Víctor M. Pérez-García , Tommaso Lorenzi

Why evolvability appears to have increased over evolutionary time is an important unresolved biological question. Unlike most candidate explanations, this paper proposes that increasing evolvability can result without any pressure to adapt.…

Neural and Evolutionary Computing · Computer Science 2015-06-12 Joel Lehman , Kenneth O. Stanley

Complex evolving systems such as the biosphere, ecosystems and societies exhibit sudden collapses, for reasons that are only partially understood. Here we study this phenomenon using a mathematical model of a system that evolves under…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Ravi Mehrotra , Vikram Soni , Sanjay Jain

The aim of this paper is two-fold. First, we propose a new computational method to investigate the particularities of evolution. Second, we apply this method to a model of gene regulatory networks (GRNs) and explore the evolution of…

Molecular Networks · Quantitative Biology 2022-01-21 Tadamune Kaneko , Macoto Kikuchi

Robustness is often regarded as a critical future challenge for real-world applications, where stability is essential. However, as models often learn tasks in a similar order, we hypothesize that easier tasks will be easier regardless of…

Machine Learning · Computer Science 2026-02-04 Shir Ashury-Tahan , Ariel Gera , Elron Bandel , Michal Shmueli-Scheuer , Leshem Choshen

Biological networks such as gene regulatory networks possess desirable properties. They are more robust and controllable than random networks. This motivates the search for structural and dynamical features that evolution has incorporated…

Molecular Networks · Quantitative Biology 2024-02-16 Claus Kadelka , David Murrugarra

Living organisms, ecosystems, and social systems are examples of complex systems in which robustness against inclusion of new elements is an essential feature. A recently proposed simple model has revealed a general mechanism by which such…

Adaptation and Self-Organizing Systems · Physics 2018-01-24 Fumiko Ogushi , János Kertész , Kimmo Kaski , Takashi Shimada

Evolvability is an important feature that impacts the ability of evolutionary processes to find interesting novel solutions and to deal with changing conditions of the problem to solve. The estimation of evolvability is not straightforward…

Neural and Evolutionary Computing · Computer Science 2020-05-14 Stephane Doncieux , Giuseppe Paolo , Alban Laflaquière , Alexandre Coninx

Evolvability refers to the ability of an individual genotype (solution) to produce offspring with mutually diverse phenotypes. Recent research has demonstrated that divergent search methods, particularly novelty search, promote evolvability…

Neural and Evolutionary Computing · Computer Science 2023-06-19 Bruno Gašperov , Marko Đurasević

Natural evolution has produced a tremendous diversity of functional organisms. Many believe an essential component of this process was the evolution of evolvability, whereby evolution speeds up its ability to innovate by generating a more…

Neural and Evolutionary Computing · Computer Science 2019-02-15 Joost Huizinga , Kenneth O. Stanley , Jeff Clune