AIMC Topic: Biological Evolution

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A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.

Genes Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Genetic Variation Genome, Human Racial Groups Models, Theoretical Europe Bayes Theorem Human Migration Hominidae Humans Neanderthals Machine Learning Asia Biological Evolution Computer Simulation History, Ancient Animals Africa
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Long-Term Progress and Behavior Complexification in Competitive Coevolution.

Artificial life Dec 7, 2020
The possibility of using competitive evolutionary algorithms to generate long-term progress is normally prevented by the convergence on limit cycle dynamics in which the evolving agents keep progressing against their current competitors by periodical...
Robotics Biological Evolution Algorithms
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A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.

IEEE transactions on neural networks and learning systems Nov 30, 2020
From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution of the human brain, this...
Algorithms Brain Learning Humans Neural Networks, Computer Artificial Intelligence Biological Evolution Neuronal Plasticity Neurons Memory Animals Genomics Cognition
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Spider webs inspiring soft robotics.

Journal of the Royal Society, Interface Nov 11, 2020
In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate p...
Predatory Behavior Biological Evolution Spiders Algorithms Animals Robotics Silk
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A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies".

Evolutionary computation Nov 5, 2020
NeuroEvolution (NE) refers to a family of methods for optimizing Artificial Neural Networks (ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting Topologies (NEAT) is considered one of the most influential algorithms in ...
Neural Networks, Computer Algorithms Biological Evolution
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Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection.

Computers in biology and medicine Sep 18, 2020
Class imbalance and the presence of irrelevant or redundant features in training data can pose serious challenges to the development of a classification framework. This paper proposes a framework for developing a Clinical Decision Support System (CDS...
Humans Machine Learning Algorithms Biological Evolution
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Benefits of insect colours: a review from social insect studies.

Oecologia Sep 2, 2020
Insect colours assist in body protection, signalling, and physiological adaptations. Colours also convey multiple channels of information. These channels are valuable for species identification, distinguishing individual quality, and revealing ecolog...
Bees Biological Evolution Ecosystem Color Insecta Artificial Intelligence Animals
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Birds have peramorphic skulls, too: anatomical network analyses reveal oppositional heterochronies in avian skull evolution.

Communications biology Apr 24, 2020
In contrast to the vast majority of reptiles, the skulls of adult crown birds are characterized by a high degree of integration due to bone fusion, e.g., an ontogenetic event generating a net reduction in the number of bones. To understand this proce...
Neural Networks, Computer Animals Skull Birds Biological Evolution Phylogeny Dinosaurs Age Factors
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Brain MRI analysis using a deep learning based evolutionary approach.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2020
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medical image analysis. However, there is no clear understanding of why they perform so well, or what they have learned. In this paper, a three-dimensional...
Young Adult Alzheimer Disease Middle Aged Adult Autistic Disorder Deep Learning Algorithms Male Biological Evolution Adolescent Brain Child Female Longitudinal Studies Humans Magnetic Resonance Imaging Neural Networks, Computer
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Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics.

Developmental science Feb 18, 2020
Both humans and non-human animals exhibit sensitivity to the approximate number of items in a visual array, as indexed by their performance in numerosity discrimination tasks, and even neonates can detect changes in numerosity. These findings are oft...
Environment Biological Evolution Numerical Analysis, Computer-Assisted Personality Inventory Cognition Judgment Visual Perception Male Deep Learning Child Computer Simulation Female Humans Animals Neural Networks, Computer Algorithms
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