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  2. ACT-R - Wikipedia

    en.wikipedia.org/wiki/ACT-R

    These assumptions are based on numerous facts derived from experiments in cognitive psychology and brain imaging. Like a programming language , ACT-R is a framework: for different tasks (e.g., Tower of Hanoi , memory for text or for list of words, language comprehension, communication, aircraft controlling), researchers create "models" (i.e ...

  3. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    In March 2023, Quizlet started to incorporate AI features with the release "Q-Chat", a virtual AI tutor powered by OpenAI's ChatGPT API. [24] [25] [26] Quizlet launched four additional AI powered features in August 2023 to assist with student learning. [27] [28] In July 2024, Kurt Beidler, the former co-CEO of Zwift, joined Quizlet as the new ...

  4. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.

  5. Broadbent's filter model of attention - Wikipedia

    en.wikipedia.org/wiki/Broadbent's_filter_model_of...

    Broadbent was the first to describe the human attentional processing system using an information processing metaphor. [2] In this view, Broadbent proposed a so-called "early selection" view of attention, such that humans process information with limited capacity and select information to be processed early.

  6. Dot-probe paradigm - Wikipedia

    en.wikipedia.org/wiki/Dot-probe_paradigm

    According to Eysenck, MacLeod & Mathews (1987) and Mathews (2004) the dot-probe task derives directly from research carried out by Christos Halkiopoulos in 1981. Halkiopoulos, later a doctoral student of Eysenck, carried out this research while he was a psychology undergraduate at UCL, under the supervision of professor N.F. Dixon.

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    An illustration of main components of the transformer model from the paper "Attention Is All You Need" [1] is a 2017 landmark [2] [3] research paper in machine learning authored by eight scientists working at Google.

  8. Posner cueing task - Wikipedia

    en.wikipedia.org/wiki/Posner_cueing_task

    The Posner cueing task, also known as the Posner paradigm, is a neuropsychological test often used to assess attention. Formulated by Michael Posner, [1] it assesses a person's ability to perform an attentional shift. It has been used and modified to assess disorders, focal brain injury, and the effects of both on spatial attention.

  9. Pre-attentive processing - Wikipedia

    en.wikipedia.org/wiki/Pre-attentive_processing

    The ability to adequately filter information from pre-attentive processing to attentive processing is necessary for the normal development of social skills. [14] For acoustic pre-attentive processing, the temporal cortex was believed to be the main site of activation; however, recent evidence has indicated involvement of the frontal cortex as well.