Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Structuralism01:26

Structuralism

Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He employed introspection, a method...
Piaget's Stage 3 of Cognitive Development01:17

Piaget's Stage 3 of Cognitive Development

During Piaget's concrete operational stage, from ages 7 to 11, children exhibit a marked increase in logical thinking skills, specifically in relation to tangible, real-world events. This stage is characterized by the development of several essential cognitive concepts, including conservation, reversibility, and classification, all of which support the child's evolving capacity for structured thought.
Conservation and Constancy of Quantity
A significant cognitive milestone in the concrete...
Growth versus Fixed Mindset01:24

Growth versus Fixed Mindset

Carol Dweck introduced the term mindset to describe individuals' beliefs about their intellectual and personal capabilities. These beliefs significantly influence psychological processes such as motivation, goal-setting, and perseverance, ultimately shaping academic and life outcomes. Individuals generally possess one of two mindsets- a fixed or a growth mindset—each promoting different responses to success, failure, and challenge.Fixed vs. Growth MindsetA fixed mindset assumes that one's...
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are themselves.

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Evidence from formal logical reasoning reveals that the language of thought is not natural language.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

A folk taxonomy of magic.

Cognition·2026
Same author

A reporting checklist for large language models in behavioural science.

Nature human behaviour·2026
Same author

Resolving Feynman's restaurant problem reveals optimal solutions and human strategies.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Considering Psychological Mechanisms Can Change the Interpretation of Bayesian Models.

Topics in cognitive science·2026
Same author

Conniving With Continuations: Representing Goals in a Domain-Specific Language of Thought.

Topics in cognitive science·2026

関連する実験動画

Updated: Jun 3, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

心を育てる方法:統計,構造,抽象化

Joshua B Tenenbaum1, Charles Kemp, Thomas L Griffiths

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. jbt@mit.edu

Science (New York, N.Y.)
|March 12, 2011
PubMed
まとめ
この要約は機械生成です。

人間の学習と認知の発達には,利用可能なデータを超えて推論を行うことが含まれます. このレビューでは,人間の思考をリバースエンジニアリングし,人間に似た機械学習システムを作成するためのコンピューティングモデルを探索します.

さらに関連する動画

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

関連する実験動画

Last Updated: Jun 3, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

科学分野:

  • コグニティブ・サイエンス コグニティブ・サイエンス
  • 人工知能 (AI) とは,人工知能 (AI) のことです.
  • 発達心理学の心理学について

背景:

  • 人間の認知は,直接利用可能なデータをはるかに超えた推論を行う能力を示しています.
  • この能力を理解することは,認知科学と人工知能の研究の両方にとって非常に重要です.

研究 の 目的:

  • 人間の学習と認知発達をリバースエンジニアリングする現在のアプローチをレビューする.
  • より人間っぽい機械学習 (ML) システムのエンジニアリングを探求する.

主な方法:

  • 確率的推論を用いた計算モデルに焦点を当てます.
  • 柔軟に構造化された表現の階層を利用する.

主要な成果:

  • これらのモデルは,抽象的な知識がどのように稀なデータから学習を導くのかについての洞察を提供します.
  • それらは,領域を超えて抽象的な知識の性質と獲得を扱っています.
  • 彼らは,人間の知識が持つ形態を探求する.

結論:

  • 確率的推論モデルは,人間の学習と認知発達を理解するための枠組みを提供します.
  • この研究は,人間の認知能力と人工知能の間のギャップを埋めています.