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関連する概念動画

Reasoning01:30

Reasoning

Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
Language and Cognition01:27

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
Inductive Reasoning00:59

Inductive Reasoning

Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Deductive Reasoning01:16

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Social Foundations of Self I: Play and Game01:24

Social Foundations of Self I: Play and Game

The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...

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関連する実験動画

Updated: May 22, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

言語ゲームにおける実用的な推論の予測

Michael C Frank1, Noah D Goodman

  • 1Department of Psychology, Stanford University, Stanford, CA 94305, USA. mcfrank@stanford.edu

Science (New York, N.Y.)
|May 26, 2012
PubMed
まとめ

人間の言語は,文脈を通して情報を効率的に伝達します. ベイジアン推論と情報理論は,コミュニケーションにおける実用的な推論のための正確な予測を提供し,正式なモデルを改善します.

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
  • 言語学 言語学とは
  • 計算神経科学とは

背景:

  • 人間の言語は,効率的で文脈に依存した情報伝達に優れている.
  • コミュニケーション的推論の既存の理論には,実用的な推論のための正確な定量的な予測力がない.

研究 の 目的:

  • 参照コミュニケーションにおける実用的な推論の定量モデルを開発し,テストする.
  • 情報理論ツールとベイジアン推論の有用性を評価し,人間のコミュニケーションをモデリングする.

主な方法:

  • 単純な参照的コミュニケーションゲームで人間の判断を検証した.
  • モデリングされたスピーカーの情報性とリスナーのベイジアン推論を参考人回復のために.
  • プラグマティックな推論を予測するために情報理論の原理を利用した.

主要な成果:

  • 提案されたモデルは,人間の判断に密接でパラメータのない適合を示した.
  • ベイジアン推論は,聴衆が意図された参考文献をどのように取り戻すかを効果的に捉えます.
  • 情報理論的原理は,実用的な推論パターンを正確に予測します.

結論:

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

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Last Updated: May 22, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

  • ベイジアン推論は,人間のコミュニケーションにおける実用的な推論を理解するための堅固な枠組みを提供します.
  • 情報理論のツールは,コミュニケーションの正確で定量的なモデルを開発するのに価値があります.
  • このアプローチは,言語と認知の正式なモデリングを進めます.