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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
The generation effect is typically achieved in cognitive psychology experiments by asking participants to generate words from word fragments. [2] This effect has also been demonstrated using a variety of other materials, such as when generating a word after being presented with its antonym, [3] synonym, [1] picture, [4] arithmetic problems, [2] [5] or keyword in a paragraph. [6]
Generative concern leads to concrete goals and actions such as "providing a narrative schematic of the generative self to the next generation". [7] McAdams and de St. Aubin developed a 20-item scale to assess generativity, and to help discover who it is that is nurturing and leading the next generation. [4]
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Generative science is an area of research that explores the natural world and its complex behaviours. It explores ways "to generate apparently unanticipated and infinite behaviour based on deterministic and finite rules and parameters reproducing or resembling the behavior of natural and social phenomena". [ 1 ]
Working memory capacity is closely related to fluid intelligence, and has been proposed to account for individual differences in g f. [28] The linking of working memory and g f has been suggested that it could help resolve mysteries that have puzzled researchers concerning the two concepts. [29]
Concentrating on a task, one aspect of flow. Flow in positive psychology, also known colloquially as being in the zone or locked in, is the mental state in which a person performing some activity is fully immersed in a feeling of energized focus, full involvement, and enjoyment in the process of the activity.
By equipping the generative model with hidden states that model control, policies (control sequences) that minimise variational free energy lead to high utility states. [ 51 ] Neurobiologically, neuromodulators such as dopamine are considered to report the precision of prediction errors by modulating the gain of principal cells encoding ...