Results 61 to 70 of about 1,242,924 (345)

Developmental Changes in Learning: Computational Mechanisms and Social Influences

open access: yesFrontiers in Psychology, 2017
Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental ...
Florian Bolenz   +5 more
doaj   +1 more source

Affect and the computer game player: the effect of gender, personality, and game reinforcement structure on affective responses to computer game-play [PDF]

open access: yes, 2006
Previous research on computer games has tended to concentrate on their more negative effects (e.g., addiction, increased aggression). This study departs from the traditional clinical and social learning explanations for these behavioral phenomena and ...
Chumbley, J, Griffiths, MD
core   +1 more source

The Impact of Tilburg Frailty on Poststroke Fatigue in First‐Ever Stroke Patients: A Cross‐Sectional Study With Unified Measurement Tools and Improved Statistics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen   +6 more
wiley   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron   +5 more
wiley   +1 more source

TEORI PERSEPSI MULLÂ SHADRÂ BESERTA IMPLIKASI EPISTEMOLOGI DAN METODOLOGISNYA UNTUK PSIKOLOGI

open access: yesJurnal Studia Insania, 2015
Human action is seen as behavior of organisms that are subject to the law of effect (the law of effect) through the process of reinforcement and punishment, stimulus-response mechanism, learning by trial, and the laws of Biochemistry and physiological ...
Husein Heriyanto
doaj   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

A Bio-Logical Theory of Animal Learning [PDF]

open access: yes, 2009
This article provides the foundation for a new predictive theory of animal learning that is based upon a simple logical model. The knowledge of experimental subjects at a given time is described using logical equations.
A Blaisdell   +32 more
core   +2 more sources

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

open access: yesArthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli   +8 more
wiley   +1 more source

Building machines that learn and think about morality [PDF]

open access: yes, 2018
Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity
Burr, Christopher, Keeling, Geoff
core   +2 more sources

Building Machines That Learn and Think Like People [PDF]

open access: yes, 2016
Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and ...
Gershman, Samuel J.   +3 more
core   +3 more sources

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