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  2. Conceptual model - Wikipedia

    en.wikipedia.org/wiki/Conceptual_model

    The term conceptual model refers to any model that is formed after a conceptualization or generalization process. [1] [2] Conceptual models are often abstractions of things in the real world, whether physical or social.

  3. Framing (social sciences) - Wikipedia

    en.wikipedia.org/wiki/Framing_(social_sciences)

    In the social sciences, framing comprises a set of concepts and theoretical perspectives on how individuals, groups, and societies organize, perceive, and communicate about reality.

  4. Cosmogony - Wikipedia

    en.wikipedia.org/wiki/Cosmogony

    The Big Bang theory, which explains the Evolution of the Universe from a hot and dense state, is widely accepted by physicists.. In astronomy, cosmogony is the study of the origin of particular astrophysical objects or systems, and is most commonly used in reference to the origin of the universe, the Solar System, or the Earth–Moon system.

  5. Encyclopedia - Wikipedia

    en.wikipedia.org/wiki/Encyclopedia

    Encyclopædia Britannica, a printed encyclopedia, and Wikipedia, an online encyclopedia. An encyclopedia [a] is a reference work or compendium providing summaries of knowledge, either general or special, in a particular field or discipline.

  6. Metatheory - Wikipedia

    en.wikipedia.org/wiki/Metatheory

    A metatheory or meta-theory is a theory on a subject matter that is a theory in itself. [1] Analyses or descriptions of an existing theory would be considered meta-theories. [2]

  7. Theory (mathematical logic) - Wikipedia

    en.wikipedia.org/wiki/Theory_(mathematical_logic)

    In mathematical logic, a theory (also called a formal theory) is a set of sentences in a formal language.In most scenarios a deductive system is first understood from context, after which an element of a deductively closed theory is then called a theorem of the theory.

  8. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), is a field of research within artificial intelligence (AI) that explores methods that provide humans with the ability of intellectual oversight over AI algorithms.