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関連する概念動画

Social Facilitation01:04

Social Facilitation

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Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
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Cognitive Learning01:21

Cognitive Learning

455
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
455
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

256
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
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Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

296
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
296
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

755
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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関連する実験動画

Updated: Jul 28, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
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専門知識は,人間のゲームプレイの計画深さを増加させる.

Bas van Opheusden1,2, Ionatan Kuperwajs3, Gianni Galbiati3,4

  • 1Center for Neural Science and Department of Psychology, New York University, New York, NY, USA. basvanopheusden@gmail.com.

Nature
|May 31, 2023
PubMed
まとめ

熟練した意思決定者は 初心者よりも複雑なゲームで 深い計画を立てています コンピューターモデルでは,専門知識がゲーム状態の計画深さと記憶を向上させ,人間の知性を理解することを示しています.

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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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The HoneyComb Paradigm for Research on Collective Human Behavior
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科学分野:

  • 認知科学
  • 人工知能
  • 人間 の 行動

背景:

  • 人間の知能は 多段階の未来計画によって特徴付けられています
  • 専門知識が初心者に比べて計画深さを増すかどうかについては議論が続いている.
  • 伝統的な研究は ゲームの複雑さやタスクの単純さによって 限界に直面しています

研究 の 目的:

  • 複雑なボードゲームを使って 計画する専門性を調査する.
  • 計画の深さと専門知識との関係を定量化する.
  • 行動計画を立てるための計算型認知モデルを開発し,検証する.

主な方法:

  • 複雑なボードゲームを使って 深い計画を立てました
  • ヒューリスティック・サーチ・コンピュテーション・コグニティブ・モデルに適合したモデルです.
  • 人間の選択,反応時間,眼の動きを予測して モデルを検証した.
  • チューリングテストと再構築実験を行いました

主要な成果:

  • 熟練した計画に 十分な証拠を見つけた
  • ヒトの行動が ヒューリスティック・検索モデルで捉えられることを示した.
  • 卓越した記憶力とボードの特徴を再構築する能力を有しています.
  • 実験室で確認した結果と 大規模なモバイルデータです

結論:

  • 意思決定の専門知識は,かなり深い計画と関連しています.
  • コンピュータによる認知モデリングは 人間の計画を研究する強力なツールです
  • 複雑なタスクと正確なモデリングは 人間と人工知能の研究のギャップを埋めることができます