Results 61 to 70 of about 1,242,924 (345)
Developmental Changes in Learning: Computational Mechanisms and Social Influences
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]
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
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
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
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
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]
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
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]
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]
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

