Abstract: Unknown examples that are unseen during training often appear in real-world pattern recognition tasks, and an intelligent self-learning system should be able to distinguish between known ...
Summary: A new study identified the architectural and evolutionary principles that govern how both children and artificial neural networks absorb language. The research bridges cognitive linguistics ...
Theories of associative learning have a long history in advancing the psychological account of behavior via cognitive representation. There are many components and variations of associative theory but ...
Imperative motivation helps us address urgent goals, such as escaping a threat or winning a competition. However, imperative motivation can constrain attention and memory. Conversely, interrogative ...
Children rapidly acquire an ability for language during early development. One theory, called iterated learning, posits that language evolves over generations to become more structured. This structure ...
This important study addresses two questions: (i) how danger signaling is altered for people with childhood adversities, and (ii) how this differs across different operationalizations of adversity.
Abstract: When an unknown example, one that was not seen during training, appears, most recognition systems usually produce overgeneralized results and determine that the example belongs to one of the ...
Of all the cognitive distortions that cognitive behavioral therapy targets, one of the most common I see is all-or-nothing thinking. This distortion involves seeing the world, one’s self, and the ...
School of International Education, Wuhan University, Wuhan, China. The construction the present study concerned is recognized as “double object construction”. It has long been a heated topic in ...
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