AIMC Topic:
Computer Simulation

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Development of swarm behavior in artificial learning agents that adapt to different foraging environments.

PloS one Dec 18, 2020
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici...
Feeding Behavior Adaptation, Physiological Social Behavior Appetitive Behavior Artificial Intelligence Computer Simulation Animals Models, Biological Reward
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Efficient crowdsourcing of crowd-generated microtasks.

PloS one Dec 17, 2020
Allowing members of the crowd to propose novel microtasks for one another is an effective way to combine the efficiencies of traditional microtask work with the inventiveness and hypothesis generation potential of human workers. However, microtask pr...
Task Performance and Analysis Humans Algorithms Problem Solving Computer Simulation Crowdsourcing Machine Learning
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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...
Hominidae Neanderthals Humans Machine Learning Computer Simulation Animals Genome, Human Racial Groups Asia Europe Biological Evolution Bayes Theorem Africa History, Ancient Genetic Variation Models, Theoretical Human Migration
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Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches.

BMC medical research methodology Dec 10, 2020
BACKGROUND: Social-environmental data obtained from the US Census is an important resource for understanding health disparities, but rarely is the full dataset utilized for analysis. A barrier to incorporating the full data is a lack of solid recomme...
Male Bayes Theorem Humans Machine Learning Computer Simulation
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Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison.

PloS one Dec 10, 2020
Modern automation systems largely rely on closed loop control, wherein a controller interacts with a controlled process via actions, based on observations. These systems are increasingly complex, yet most deployed controllers are linear Proportional-...
Engineering Neural Networks, Computer Computer Simulation Models, Theoretical
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Modular deep reinforcement learning from reward and punishment for robot navigation.

Neural networks : the official journal of the International Neural Network Society Dec 8, 2020
Modular Reinforcement Learning decomposes a monolithic task into several tasks with sub-goals and learns each one in parallel to solve the original problem. Such learning patterns can be traced in the brains of animals. Recent evidence in neuroscienc...
Reinforcement, Psychology Punishment Reward Motivation Maze Learning Deep Learning Robotics Computer Simulation Animals
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Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks.

Nature neuroscience Dec 7, 2020
Cortical neurons process information on multiple timescales, and areas important for working memory (WM) contain neurons capable of integrating information over a long timescale. However, the underlying mechanisms for the emergence of neuronal timesc...
Neural Networks, Computer Machine Learning Male Prefrontal Cortex Models, Neurological Algorithms Computer Simulation Animals Nerve Net Neural Inhibition Macaca mulatta Memory, Short-Term Psychomotor Performance Neurons Cerebral Cortex White Matter
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Real-time biomechanics using the finite element method and machine learning: Review and perspective.

Medical physics Dec 7, 2020
PURPOSE: The finite element method (FEM) is the preferred method to simulate phenomena in anatomical structures. However, purely FEM-based mechanical simulations require considerable time, limiting their use in clinical applications that require real...
Machine Learning Algorithms Biomechanical Phenomena Computer Simulation Finite Element Analysis
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A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects.

IEEE transactions on cybernetics Dec 3, 2020
Building an efficient and reliable collision perception visual system is a challenging problem for future robots and autonomous vehicles. The biological visual neural networks, which have evolved over millions of years in nature and are working perfe...
Computer Simulation Neural Networks, Computer Contrast Sensitivity Animals Grasshoppers Robotics Models, Neurological Visual Pathways Neurons Spatial Navigation
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Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization.

Ultrasonics Dec 1, 2020
The homodyned K (HK) distribution allows a general description of ultrasound backscatter envelope statistics with specific physical meanings. In this study, we proposed a new artificial neural network (ANN) based parameter estimation method of the HK...
Tissue Donors Image Processing, Computer-Assisted Fatty Liver Humans Neural Networks, Computer Computer Simulation Ultrasonography
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