Incorporating social knowledge structures into computational models [PDF]
Nature Communications, 2022 People are remarkably good at learning about others’ personalities. Here, the authors develop computational models showing that this learning relies on a combination of prior beliefs and similarities between personality traits.
Koen M. M. Frolichs +2 more
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Bibliometric analysis of subject trends and knowledge structures of gut microbiota. [PDF]
World J Clin Cases, 2020 BACKGROUND Gut microbiota is an emerging field of research, with related research having breakthrough development in the past 15 years. Bibliometric analysis can be applied to analyze the evolutionary trends and emerging hotspots in this field.
Yue YY +8 more
europepmc +2 more sources
A bibliometric analysis of the theme trends and knowledge structures of pulmonary embolism from 2017 to 2021 [PDF]
Frontiers in Medicine, 2023 BackgroundPulmonary embolism (PE) is a popular area of research in the field of respiratory medicine. We performed a bibliometric analysis based on PubMed database to characterize the distribution pattern of literature and knowledge structures related to
Jingjing Fan, Xiaoman Xu, Li Zhao
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Analyzing and Visualizing Knowledge Structures of Health Informatics from 1974 to 2018: A Bibliometric and Social Network Analysis. [PDF]
Healthc Inform Res, 2019 Objectives This paper aims to provide a theoretical clarification of the health informatics field by conducting a quantitative review analysis of the health informatics literature.
Saheb T, Saheb M.
europepmc +2 more sources
Flexible updating of dynamic knowledge structures. [PDF]
Sci Rep, 2019 Schemas are knowledge structures that allow us to make efficient judgments about the world without the cost of memorizing every detail of previous experiences. It has long been known that schemas can enhance long-term memory for related information.
Richter FR +3 more
europepmc +2 more sources
Cortical knowledge structures guide word concept learning [PDF]
Nature CommunicationsHuman word concept learning leverages prior knowledge to generalize from limited exemplars, yet its neural implementation remains unclear. We developed a Neural Bayesian Model (NBM) that incorporates neural representational priors to explain word concept
Guangyao Zhang +5 more
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Memory behavior requires knowledge structures, not memory stores [PDF]
Frontiers in Psychology, 2015 Guillermo eCampitelli
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Symbolic Knowledge Structures and Intuitive Knowledge Structures [PDF]
arXiv.org, 2022 This paper proposes that two distinct types of structures are present in the brain: Symbolic Knowledge Structures (SKSs), used for formal symbolic reasoning, and Intuitive Knowledge Structures (IKSs), used for drawing informal associations.
Nancy A. Lynch
semanticscholar +1 more source
A class of k-modes algorithms for extracting knowledge structures from data
Behavior Research Methods, 2016 Luca Stefanutti +2 more
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Sustainability, 2022 More than 59 million people reside in the six member countries of the Gulf Cooperation Council (GCC) (the United Arab Emirates, Bahrain, Kuwait, Oman, Qatar, and Saudi Arabia). The rate of urbanization is more than 80% in each of these countries.
Abdulaziz I. Almulhim +4 more
semanticscholar +1 more source