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  2. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    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.

  3. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    Generative adversarial network; Flow-based generative model; Energy based model; Diffusion model; If the observed data are truly sampled from the generative model, then fitting the parameters of the generative model to maximize the data likelihood is a common method.

  4. Mental model - Wikipedia

    en.wikipedia.org/wiki/Mental_model

    System structure diagrams – another way to express the structure of a qualitative dynamic system; Stock and flow diagrams - a way to quantify the structure of a dynamic system; These methods allow showing a mental model of a dynamic system, as an explicit, written model about a certain system based on internal beliefs.

  5. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    In 2004, [4] Rick Grush proposed a model of neural perceptual processing according to which the brain constantly generates predictions based on a generative model (what Grush called an ‘emulator’), and compares that prediction to the actual sensory input. The difference, or ‘sensory residual’ would then be used to update the model so as ...

  6. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models.While individual neurons are simple, many of them together in a network can perform complex tasks.

  7. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    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 ...

  8. Divergent thinking - Wikipedia

    en.wikipedia.org/wiki/Divergent_thinking

    Divergent thinking is a thought process used to generate creative ideas by exploring many possible solutions. It typically occurs in a spontaneous, free-flowing, "non-linear" manner, such that many ideas are generated in an emergent cognitive fashion.

  9. Generativity - Wikipedia

    en.wikipedia.org/wiki/Generativity

    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]