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相关概念视频

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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相关实验视频

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

在语言游戏中预测实用推理.

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
概括

人类语言通过语境有效地传达信息. 贝叶斯推理和信息理论为沟通中的务实推理提供了精确的预测,改善了形式模型.

科学领域:

  • 认知科学 认知科学
  • 语言学的语言学.
  • 计算神经科学是一种神经科学.

背景情况:

  • 人类语言在高效的,取决于上下文的信息传输方面表现出色.
  • 现有的沟通性推理理论缺乏准确的,用于务实推理的定量预测能力.

研究的目的:

  • 开发和测试参考沟通中实用推理的定量模型.
  • 评估信息理论工具和贝叶斯推理在模拟人类沟通中的实用性.

主要方法:

  • 在简单的参考性沟通游戏中检查了人类的判断.
  • 模拟扬声器信息性和听众贝叶斯推理参考恢复.
  • 利用信息理论原则来预测实用推理.

主要成果:

  • 拟议的模型显示了密切的,无参数的适合人类判断.
  • 贝叶斯推理有效地捕捉了听众如何恢复预期的参考.
  • 信息理论原则准确地预测实用推理模式.

结论:

  • 贝叶斯推理为理解人类沟通中的实用推理提供了一个强大的框架.
  • 信息理论工具对于开发精确的,定量化的沟通模型有价值.

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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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  • 这种方法推进了语言和认知的正式建模.