AIMC Topic: Biological Evolution

Clear Filters Showing 141 to 150 of 162 articles

Functional differentiations in evolutionary reservoir computing networks.

Chaos (Woodbury, N.Y.) Jan 1, 2021
We propose an extended reservoir computer that shows the functional differentiation of neurons. The reservoir computer is developed to enable changing of the internal reservoir using evolutionary dynamics, and we call it an evolutionary reservoir com...
Humans Neural Networks, Computer Nonlinear Dynamics Biological Evolution Neurons Computer Simulation
View on PubMed DOI

Searching for Models for Psychological Science: A Possible Contribution of Simulation.

Integrative psychological & behavioral science Sep 1, 2020
The problem of the theoretical precariousness of psychology requires defining, at an epistemological level, its concepts and languages and the use of models for finding core concepts and building more or less 'hard' theories. After reviewing some mai...
Biological Evolution Knowledge Artificial Intelligence Phylogeny Clay Humans
View on PubMed DOI

Understanding collective behaviors in reinforcement learning evolutionary games via a belief-based formalization.

Physical review. E Apr 1, 2020
Collective behaviors by self-organization are ubiquitous in nature and human society and extensive efforts have been made to explore the mechanisms behind them. Artificial intelligence (AI) as a rapidly developing field is of great potential for thes...
Artificial Intelligence Biological Evolution Reinforcement, Psychology
View on PubMed DOI

Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks.

Neuron Feb 5, 2020
Evolution is a blind fitting process by which organisms become adapted to their environment. Does the brain use similar brute-force fitting processes to learn how to perceive and act upon the world? Recent advances in artificial neural networks have ...
Neural Networks, Computer Brain Humans Biological Evolution Nerve Net Learning
View on PubMed DOI

Integration of Anatomy Ontologies and Evo-Devo Using Structured Markov Models Suggests a New Framework for Modeling Discrete Phenotypic Traits.

Systematic biology Sep 1, 2019
Modeling discrete phenotypic traits for either ancestral character state reconstruction or morphology-based phylogenetic inference suffers from ambiguities of character coding, homology assessment, dependencies, and selection of adequate models. Thes...
Classification Biological Evolution Anatomy Models, Statistical Biological Ontologies Animals Phenotype
View on PubMed DOI

Evolutionary aspects of reservoir computing.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 10, 2019
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with ...
Artificial Intelligence Neural Networks, Computer Biological Evolution
View on PubMed DOI

Text-mined fossil biodiversity dynamics using machine learning.

Proceedings. Biological sciences Apr 24, 2019
Documented occurrences of fossil taxa are the empirical foundation for understanding large-scale biodiversity changes and evolutionary dynamics in deep time. The fossil record contains vast amounts of understudied taxa. Yet the compilation of huge vo...
Bryozoa Fossils Animals Biodiversity Machine Learning Data Mining Biological Evolution Paleontology
View on PubMed DOI

Why Open-Endedness Matters.

Artificial life Jan 1, 2019
Rather than acting as a review or analysis of the field, this essay focuses squarely on the motivations for investigating open-endedness and the opportunities it opens up. It begins by contemplating the awesome accomplishments of evolution in nature ...
Models, Theoretical Computational Biology Biological Evolution Artificial Intelligence Algorithms
View on PubMed DOI

On the Potential for Open-Endedness in Neural Networks.

Artificial life Jan 1, 2019
Natural evolution gives the impression of leading to an open-ended process of increasing diversity and complexity. If our goal is to produce such open-endedness artificially, this suggests an approach driven by evolutionary metaphor. On the other han...
Biological Evolution Artificial Intelligence Neural Networks, Computer Models, Theoretical
View on PubMed DOI

Evolutionary Innovations and Where to Find Them: Routes to Open-Ended Evolution in Natural and Artificial Systems.

Artificial life Jan 1, 2019
This article presents a high-level conceptual framework to help orient the discussion and implementation of open-endedness in evolutionary systems. Drawing upon earlier work by Banzhaf et al. (2016), three different kinds of open-endedness are identi...
Biology Biological Evolution Models, Biological Computer Simulation Artificial Intelligence Systems Theory
View on PubMed DOI
Popular Topics
Recent Journals