نتایج جستجو برای: conceptual classification
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In order to understand the progress and future of a research field that has reached certain level knowledge, it is necessary analyze subject patterns, trends, conceptual structure evolution from historical perspective. A systematic review domain required in consolidate its scattered theoretical reveal evolutionary characteristics, since career scientific discipline been studied for many years, ...
Methods for Conceptual Clustering may be explicated in two lights. Conceptual Clustering methods may be viewed as extensions to techniques of numerical taxonomy, a collection of methods developed by social and natural scientists for creating classification schemes over object sets. Alternatively, conceptual clustering may be viewed as a form of learning by observation or concept formation, as o...
Global advances in patient safety have been hampered by the lack of a uniform classification of patient safety concepts. This is a significant barrier to developing strategies to reduce risk, performing evidence-based research and evaluating existing healthcare policies relevant to patient safety. Since 2005, the World Health Organization's World Alliance for Patient Safety has undertaken the P...
These experiments test the hypothesis that preschool children are predisposed to interpret nouns as referring to taxonomic relations, and that this bias guides the early establishment of conceptual hierarchies (e.g., collie, dog, mamma/, aima/). Two familiar hierarchies-animals and food-and two linguistic form classesnouns and adjectives-were examined in detail. Experiment 1 tested the effect o...
Types are a crucial concept in conceptual modelling, logic, and knowledge representation as they are an ubiquitous device to understand and formalise the classification of objects. We propose a logical treatment of types based on a cognitively inspired modelling that accounts for the amount of information that is actually available to a certain agent in the task of classification. We develop a ...
Research has shown that learning a concept via standard supervised classification leads to a focus on diagnostic features, whereas learning by inferring missing features promotes the acquisition of within-category information. Accordingly, we predicted that classification learning would produce a deficit in people's ability to draw novel contrasts--distinctions that were not part of training--c...
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