AIMC Topic: Decision Making
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The Robot Made Me Do It: Human-Robot Interaction and Risk-Taking Behavior.
Cyberpsychology, behavior and social networking
Nov 18, 2020
Empirical evidence has shown that peer pressure can impact human risk-taking behavior. With robots becoming ever more present in a range of human settings, it is crucial to examine whether robots can have a similar impact. Using the balloon analogue ...
Deep learning in cancer pathology: a new generation of clinical biomarkers.
British journal of cancer
Nov 18, 2020
Clinical workflows in oncology rely on predictive and prognostic molecular biomarkers. However, the growing number of these complex biomarkers tends to increase the cost and time for decision-making in routine daily oncology practice; furthermore, bi...
Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters.
Journal of evaluation in clinical practice
Nov 13, 2020
In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increa...
A multi-attribute decision-making-based site selection assessment algorithm for garbage disposal plant using interval q-rung orthopair fuzzy power Muirhead mean operator.
Environmental research
Nov 7, 2020
With the increase of the global population and the improvement of people's living standards, the output of garbage generated by human activities is also increasing day by day. Choosing an appropriate garbage disposal site is one of the key links for ...
Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar.
BMJ (Clinical research ed.)
Nov 4, 2020
OBJECTIVE: To assess the consistency of machine learning and statistical techniques in predicting individual level and population level risks of cardiovascular disease and the effects of censoring on risk predictions.
A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.
PLoS computational biology
Nov 3, 2020
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. This is anal...
Capturing human categorization of natural images by combining deep networks and cognitive models.
Nature communications
Oct 27, 2020
Human categorization is one of the most important and successful targets of cognitive modeling, with decades of model development and assessment using simple, low-dimensional artificial stimuli. However, it remains unclear how these findings relate t...
Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network.
Sensors (Basel, Switzerland)
Oct 25, 2020
New ongoing rural construction has resulted in an extensive mixture of new settlements with old ones in the rural areas of China. Understanding the spatial characteristic of these rural settlements is of crucial importance as it provides essential in...
External Validation of the Long Short-Term Memory Artificial Neural Network-Based SCaP Survival Calculator for Prediction of Prostate Cancer Survival.
Cancer research and treatment
Oct 6, 2020
PURPOSE: Decision-making for treatment of newly diagnosed prostate cancer (PCa) is complex due to the multiple initial treatment modalities available. We aimed to externally validate the SCaP (Severance Study Group of Prostate Cancer) Survival Calcul...
Robust parallel decision-making in neural circuits with nonlinear inhibition.
Proceedings of the National Academy of Sciences of the United States of America
Oct 2, 2020
An elemental computation in the brain is to identify the best in a set of options and report its value. It is required for inference, decision-making, optimization, action selection, consensus, and foraging. Neural computing is considered powerful be...
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