The Emergence Machine

Generative Model

abstract · Computing · Level 9 · E10

E10Institutions

Each concept here is mapped to its prerequisites — the ideas you'd need first to understand it — all the way down to four foundations: Space, Time, Energy, Pattern. Click any prerequisite to drill down, or scroll for the chain graph.

Trace. Question. Emerge.

Emergence definition

generative-model requires neural-network, computation.

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Wiktionary senses

External reference — all senses of the word “generative model” on Wiktionary. This atlas concept maps to only the slice of meaning relevant to the prerequisite graph.

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Source: Wiktionary — “generative model”. Content available under CC BY-SA 4.0.

Historical origin

Origin word
generative model
Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL9L8L7L6L3L2L1L0Generative ModelModelNeural NetworkMachine LearningArtificial Intel…CausalitySoftwareSystem… intermediate l…FormInformationProcessStructureActionChangeMatterProcedureEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

Direct prerequisites above, concepts that depend on this one below.

thisprerequisitesGenerative ModelL9SoftwareL3ModelL8Neural NetworkL8E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Software L3 (requires)
    generative model builds on the concept of software
  • Model L8 (requires) systems-theory sense
    generative model builds on the concept of model
  • Neural Network L8 (requires)
    A generative model is a machine learning model that learns the underlying data distribution and can generate new, previously unseen samples similar to the training data.