24 papers · ranked by Valyu relevance
Rosangela Canino-Koning, Michael J. Wiser, Charles Ofria, Laurent Keller
'Laurent Keller'] Genetic spaces are often described in terms of fitness landscapes or genotype-to-phenotype maps, where each genetic sequence is associated with phenotypic properties and linked to other genotypes that are a single mutational step away. The positions close to a genotype make up its “mutational…
Laura M. Grabowski, David M. Bryson, Fred C. Dyer, Robert T. Pennock + 2 more
'Charles Ofria' 'Paul Graham'] Investigating the evolution of animal behavior is difficult. The fossil record leaves few clues that would allow us to recapitulate the path that evolution took to build a complex behavior, and the large population sizes and long time scales required prevent us from re-evolving such…
Andrew N. Sloss, Steven C. Gustafson
Evolutionary algorithm research and applications began over 50 years ago. Like other artificial intelligence techniques, evolutionary algorithms will likely see increased use and development due to the increased availability of computation, more robust and available open source software libraries, and the increasing…
Tim Taylor, Alan Dorin, Kevin B. Korb
The application of evolution in the digital realm, with the goal of creating artificial intelligence and artificial life, has a history as long as that of the digital computer itself. We illustrate the intertwined history of these ideas, starting with the early theoretical work of John von Neumann and the pioneering…
Jason N. Bundy, Charles Ofria, Richard E. Lenski
Gould’s thought experiment of “replaying life’s tape” provides a conceptual framework for experiments that quantify the contributions of adaptation, chance, and history to evolutionary outcomes. For example, we can empirically measure how varying the depth of history in one environment influences subsequent evolution…
Thomas LaBar, Christoph Adami
A major aim of evolutionary biology is to explain the respective roles of adaptive versus non-adaptive changes in the evolution of complexity. While selection is certainly responsible for the spread and maintenance of complex phenotypes, this does not automatically imply that strong selection enhances the chance for…
Judith Michael, István Dávid, Dominik Bork
—Smart ecosystems are the drivers of modern society. They control critical infrastructures, ensuring their stable and sustainable operation. Smart ecosystems are governed by digital twins—real-time virtual representations of physical infrastructure. To support the open-ended and reactive traits of smart ecosystems…
David A. Baum, Niles Lehman
The information contained in life exists in two forms, analog and digital. Analog information is manifest mainly in the differing concentrations of chemicals that get passed from generation to generation and can vary from cell to cell. Digital information is encoded in linear polymers such as DNA and RNA, whose side…
Kristen M. Martinet, Brea Dace, Luke J. Harmon, Shaelyn Pearson + 4 more
The outcome of evolution sometimes appears to be predictable, as in the evolution of the same characteristics independently in convergent evolution. Other times, evolution’s path depends on starting conditions or chance events, and some forms evolve just once and never appear again. Is convergence, and by implication…
Nicola Milano, Stefano Nolfi, Suzannah Rutherford
We demonstrate how the need to cope with operational faults enables evolving circuits to find more fit solutions. The analysis of the results obtained in different experimental conditions indicates that, in absence of faults, evolution tends to select circuits that are small and have low phenotypic variability and…
Federica Russo
Technologies have always been bearers of profound changes in science, society, and any other aspect of life. The latest technological revolution-the digital revolution-is no exception in this respect. This paper presents the revolution brought about by digital technologies through the lenses of a specific approach: the…
Stefan Bräse
Digital chemistry represents a transformative approach integrating computational methods, digital data, and automation within the chemical sciences. It is defined by the use of digital tools and algorithms to simulate, predict, accelerate, and analyze chemical processes and properties, augmenting traditional…
Chris Partridge, Andrew Mitchell, Sergio de Cesare, John Beverley
as an example Authors: ['Chris Partridge' 'Andrew Mitchell' 'Sergio de Cesare' 'John Beverley'] Abstract— Our aim in this paper is to outline how the design space for the ontologization process is richer than current practice would suggest. We point out that engineering processes as well as products need to be designed…
Troy Day
The process of evolutionary diversification unfolds in a vast genotypic space of potential outcomes. During the past century, there have been remarkable advances in the development of theory for this diversification, and the theory's success rests, in part, on the scope of its applicability. A great deal of this theory…
Awni Hannun
Two categories of development influence the behavior of an intelligent being: (1) lifetime learning or ontogenesis and (2) evolution or phylogenesis. The ontogenetic development of an organism includes learning from the knowledge and experience accrued over a single lifespan. The phylogenetic development of a species…
Bertalan Mesko
1.## The evolution of medical technology Physicians used to make informed decisions with a very limited set of tools but a growing amount of experience and knowledge that spans generations. With the birth of modern medicine in the 18th century, the practice of medicine has gradually become dependent on the use of…
Alan Aspuru-Guzik, Roland Lindh, Markus Reiher
To date, the program for the development of methods and models for atomistic and continuum simulation directed toward chemicals and materials has reached an incredible degree of sophistication and maturity. Currently, one can witness an increasingly rapid emergence of advances in computing, artificial intelligence, and…
Ghaith Rabadi, Resit Unal, Teddy Cotter, Rafael Landaeta + 10 more
'Charles E. Daniels' 'Andres Sousa‐Poza' 'Charles B. Keating' 'Andrew Collins' 'Samuel Kovacic' 'C. Ariel Pinto' 'Pilar Pazos' 'Holly A. H. Handley' 'Jingwei Huang' 'Adrian V. Gheorghe'] Abstract: Digital Engineering, the digital transformation of engineering to leverage digital technologies, is coming globally. This…
Authors not listed
This paper presents a simplified model of iterative compound optimization in drug/agrochemical discovery. Compounds are represented as binary strings, with project evolution simulated through random bit changes. The model reproduces key statistical features of real projects, including activity distributions and…
Henry Rzepa
The history of the development of two tools for managing research resources and the data produced from them is summarised. These tools are a portal or electronic laboratory notebook for computational chemistry interfaced in one direction to a high-performance computing resource and in the other direction to a modern…
Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland + 2 more
Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a Conditional Restricted Boltzmann Machine (CRBM) to learn the relationships between covariates commonly used to characterize subjects and their disease…
Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noël Chotard + 5 more
We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR)…
Julian Z. Xue, Leonid Chindelevich, Frédéric Guichard
Many well-documented macro-evolutionary phenomena, such as increases in organization hierarchy, or sudden and episodic creation of new taxa, still challenge current evolutionary theories. Here we show a new mechanism that can explain them. We begin by showing how the order of mutations can alter evolutionary…
Mauricio González-Forero
Mathematically integrating genetics, development, and evolution is a longstanding challenge. Here I develop general mathematical theory that integrates sexual, discrete, multilocus genetics, development, and evolution. This yields an exact method to describe the evolutionary dynamics of allele frequencies and linkage…