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  2. List of logic symbols - Wikipedia

    en.wikipedia.org/wiki/List_of_logic_symbols

    In logic, a set of symbols is commonly used to express logical representation. The following table lists many common symbols, together with their name, how they should be read out loud, and the related field of mathematics.

  3. Higher-order thinking - Wikipedia

    en.wikipedia.org/wiki/Higher-order_thinking

    It is a notion that students must master the lower level skills before they can engage in higher-order thinking. However, the United States National Research Council objected to this line of reasoning, saying that cognitive research challenges that assumption, and that higher-order thinking is important even in elementary school.

  4. AGIL paradigm - Wikipedia

    en.wikipedia.org/wiki/AGIL_paradigm

    The four functions of AGIL break into external and internal problems, and further into instrumental and consummatory problems. External problems include the use of natural resources and making decisions to achieve goals, whereas keeping the community integrated and maintaining the common values and practices over succeeding generations are considered internal problems.

  5. Kurt Gödel - Wikipedia

    en.wikipedia.org/wiki/Kurt_Gödel

    Kurt Friedrich Gödel (/ ˈ ɡ ɜːr d əl / GUR-dəl; [2] German: [kʊʁt ˈɡøːdl̩] ⓘ; April 28, 1906 – January 14, 1978) was a logician, mathematician, and philosopher. ...

  6. Philosophy - Wikipedia

    en.wikipedia.org/wiki/Philosophy

    Philosophy ('love of wisdom' in Ancient Greek) is a systematic study of general and fundamental questions concerning topics like existence, reason, knowledge, value, mind, and language.

  7. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    Flowchart of using successive subtractions to find the greatest common divisor of number r and s. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1]

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

  9. Classical conditioning - Wikipedia

    en.wikipedia.org/wiki/Classical_conditioning

    Classical conditioning occurs when a conditioned stimulus (CS) is paired with an unconditioned stimulus (US). Usually, the conditioned stimulus is a neutral stimulus (e.g., the sound of a tuning fork), the unconditioned stimulus is biologically potent (e.g., the taste of food) and the unconditioned response (UR) to the unconditioned stimulus is an unlearned reflex response (e.g., salivation).