AIMC Topic: Models, Psychological

Clear Filters Showing 41 to 50 of 96 articles

Machine learning meets partner matching: Predicting the future relationship quality based on personality traits.

PloS one Mar 21, 2019
To what extent is it possible to use machine learning to predict the outcome of a relationship, based on the personality of both partners? In the present study, relationship satisfaction, conflicts, and separation (intents) of 192 partners four years...
Sexual Partners Models, Psychological Humans Machine Learning Female Surveys and Questionnaires Personality Adult Male
View on PubMed DOI

Predicting one-year outcome in first episode psychosis using machine learning.

PloS one Mar 7, 2019
BACKGROUND: Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study object...
Machine Learning Prospective Studies Prognosis Humans Adult Male Psychiatric Status Rating Scales Adolescent Female Educational Status Young Adult Models, Psychological Psychotic Disorders Glasgow Outcome Scale Datasets as Topic Employment
View on PubMed DOI

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 (...
Computer Simulation Animals Models, Neurological Humans Machine Learning Brain Time Reinforcement, Psychology Time Perception Anticipation, Psychological Decision Making Memory Models, Psychological
View on PubMed DOI

A model of event knowledge.

Psychological review Jan 31, 2019
Our knowledge of events and situations in the world plays a critical role in our ability to understand what is happening around us, to predict what might happen next, and to comprehend language. What has not been so clear is the form and structure of...
Neural Networks, Computer Humans Behavior Learning Executive Function Models, Psychological Thinking Knowledge
View on PubMed DOI

Learning from data to predict future symptoms of oncology patients.

PloS one Dec 31, 2018
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more ...
Depression Support Vector Machine Models, Psychological Male Humans Neoplasms Neural Networks, Computer Anxiety Female
View on PubMed DOI

What is a cognitive map? Unravelling its mystery using robots.

Cognitive processing Dec 11, 2018
Despite years of research into cognitive mapping, the process remains controversial and little understood. A computational theory of cognitive mapping is needed, but developing it is difficult due to the lack of a clear interpretation of the empirica...
Models, Psychological Spatial Navigation Orientation Cognition Robotics Spatial Analysis Algorithms Computer Simulation Humans Artificial Intelligence
View on PubMed DOI

The stability of memristive multidirectional associative memory neural networks with time-varying delays in the leakage terms via sampled-data control.

PloS one Sep 24, 2018
In this paper, we propose a new model of memristive multidirectional associative memory neural networks, which concludes the time-varying delays in leakage terms via sampled-data control. We use the input delay method to turn the sampling system into...
Memory Models, Psychological Mathematical Concepts Brain Time Factors Humans Computer Simulation Models, Neurological Systems Theory Neural Networks, Computer Nerve Net Association
View on PubMed DOI

Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis.

PloS one Sep 21, 2018
We present a biologically motivated model for visual self-localization which extracts a spatial representation of the environment directly from high dimensional image data by employing a single unsupervised learning rule. The resulting representation...
Models, Psychological Orientation, Spatial Unsupervised Machine Learning Robotics Computer Simulation Hippocampus Neural Networks, Computer Animals User-Computer Interface Models, Neurological
View on PubMed DOI

Dynamics of brain activity reveal a unitary recognition signal.

Journal of experimental psychology. Learning, memory, and cognition Jul 19, 2018
Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a un...
Humans Electroencephalography Memory, Episodic Cerebral Cortex Machine Learning Mental Recall Models, Psychological Young Adult Recognition, Psychology Adult
View on PubMed DOI

Emergent Solutions to High-Dimensional Multitask Reinforcement Learning.

Evolutionary computation Jun 22, 2018
Algorithms that learn through environmental interaction and delayed rewards, or reinforcement learning (RL), increasingly face the challenge of scaling to dynamic, high-dimensional, and partially observable environments. Significant attention is bein...
Algorithms Learning Models, Psychological Game Theory Cooperative Behavior Reinforcement, Psychology Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals