AIMC Topic: Decision Making

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Kirsch's, and everyone's, bind: How to build models for the wild?

Cognitive processing Mar 23, 2019
Alexandra Kirsch proposed a general formal model of decision making. She proposed it as a model both of human psychology and of artificial intelligence. As one might expect, and as Don Ross explicated, this is a challenging, albeit fascinating, posit...
Decision Making Humans Artificial Intelligence Probability Female Cognitive Science
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Myopic control of neural dynamics.

PLoS computational biology Mar 11, 2019
Manipulating the dynamics of neural systems through targeted stimulation is a frontier of research and clinical neuroscience; however, the control schemes considered for neural systems are mismatched for the unique needs of manipulating neural dynami...
Humans Nervous System Diseases Neural Networks, Computer Algorithms Decision Making Nonlinear Dynamics
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Fuzzy DEA-based classifier and its applications in healthcare management.

Health care management science Mar 8, 2019
Nonlinear fuzzy classification models have better classification performance than linear fuzzy classifiers. In many nonlinear fuzzy classification problems, piecewise-linear fuzzy discriminant functions can approximate nonlinear fuzzy discriminant fu...
Humans Models, Statistical Myocardial Infarction Data Mining Female Decision Support Systems, Clinical Nonlinear Dynamics Breast Neoplasms Fuzzy Logic Artificial Intelligence Male Decision Making Machine Learning Algorithms
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Cyborg groups enhance face recognition in crowded environments.

PloS one Mar 6, 2019
Recognizing a person in a crowded environment is a challenging, yet critical, visual-search task for both humans and machine-vision algorithms. This paper explores the possibility of combining a residual neural network (ResNet), brain-computer interf...
Female Adult Male Humans Neural Networks, Computer Brain Decision Making Electroencephalography Reaction Time Evoked Potentials, Visual Facial Recognition Healthy Volunteers Brain-Computer Interfaces
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Study on Hesitant Fuzzy Information Measures and Their Clustering Application.

Computational intelligence and neuroscience Mar 3, 2019
At present, research on hesitant fuzzy operations and measures is based on equal length processing, and an equal length processing method will inevitably destroy the original data structure and change the data information. This is an urgent problem t...
Uncertainty Cluster Analysis Decision Making Entropy Humans Algorithms Fuzzy Logic
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Investigating the Need for Point-of-Care Robots to Support Teleconsultation.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Feb 20, 2019
     
Female Adult Male Needs Assessment Humans Attitude of Health Personnel Robotics Decision Making Point-of-Care Systems Remote Consultation Focus Groups Surveys and Questionnaires
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Estimating Scale-Invariant Future in Continuous Time.

Neural computation Feb 14, 2019
Natural learners must compute an estimate of future outcomes that follow from a stimulus in continuous time. Widely used reinforcement learning algorithms discretize continuous time and estimate either transition functions from one step to the next (...
Anticipation, Psychological Time Reinforcement, Psychology Time Perception Brain Humans Memory Models, Neurological Computer Simulation Machine Learning Models, Psychological Decision Making Animals
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Deep Learning Length of Stay Adolescent Male Middle Aged Severity of Illness Index Area Under Curve Probability Critical Care Organ Dysfunction Scores Hospital Mortality Longitudinal Studies Decision Making Retrospective Studies Critical Illness Intensive Care Units Young Adult Humans Adult Databases, Factual Female Aged
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Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes.

Computational intelligence and neuroscience Feb 3, 2019
Gearboxes are mechanical devices that play an essential role in several applications, e.g., the transmission of automotive vehicles. Their malfunctioning may result in economic losses and accidents, among others. The rise of powerful graphical proces...
Humans Neural Networks, Computer Decision Making Algorithms Equipment Failure Analysis Support Vector Machine
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Good advice is beyond all price, but what if it comes from a machine?

Journal of experimental psychology. Applied Jan 31, 2019
As nonhuman agents are integrated into the workforce, the question becomes to what extent advice seeking in technology-infused environments depends on the perceived fit between agent and task and whether humans are willing to consider advice from non...
Robotics Social Perception Humans Artificial Intelligence Decision Making
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