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相关概念视频

Reason and Intuition01:37

Reason and Intuition

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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...
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Beck's Cognitive Therapy01:25

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Cognitive therapy is a psychological approach designed to address distortions in thinking, which can lead to negative emotions and unrealistic beliefs. These cognitive distortions often influence how individuals interpret and respond to situations, exacerbating emotional distress. Below are some prevalent cognitive distortions, their characteristics, and examples of how they manifest in thought processes.
Arbitrary Inference
Arbitrary inference involves making conclusions without sufficient...
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Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

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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...
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Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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High-Level and Low-Level Awareness01:19

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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...
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Language and Cognition01:27

Language and Cognition

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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.
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Errors as a Means of Reducing Impulsive Food Choice
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错误,快速和缓慢的速度.

Carlos Alós-Ferrer1, Michele Garagnani2

  • 1Lancaster University Management School, Department of Economics, United Kingdom; Universidad Jaume I de Castellón, Department of Economics, Spain.

Cognitive psychology
|December 13, 2025
PubMed
概括
此摘要是机器生成的。

人类在认知任务中的错误可能比正确的反应更快或更慢. 一个新的模型预测了预先的错误速度,为认知冲突和决策过程提供了洞察力.

关键词:
错误 错误 错误 是一个错误.多个过程多个过程.响应时间响应时间错误的速度错误的速度.

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科学领域:

  • 认知心理学 认知心理学
  • 人类因素 人类因素
  • 计算神经科学是一种神经科学.

背景情况:

  • 人类在认知任务中的错误表现出可变的响应时间 (RTs),比正确的响应更快或更慢.
  • 现有的模型可以适应观察到的错误RT分布,但在预测错误速度的前期预测方面遇到了困难.
  • 预测错误RT特征对于理解决策中的潜在认知过程至关重要.

研究的目的:

  • 经验验证一种简单的非参数模型,用于预测人类错误何时比正确反应更快或更慢.
  • 评估模型对一般化冲突任务的适用性及其预测错误率差异的能力.
  • 基于预测性表现的认知任务中测试过程多重性的假设.

主要方法:

  • 利用了20个不同的数据集,包括31个跨不同领域的实验.
  • 采用简单的非参数模型来预测相对于正确响应时间的错误RT.
  • 分析了对一般化Stroop效应和冲突任务中的错误率差异的预测.

主要成果:

  • 非参数模型成功预测了数据集中的错误是否会比正确响应更快或更慢.
  • 模型预测准确地涵盖了一般化的Stroop效应和错误率变化.
  • 该模型的预测得到了绝大多数实证数据的支持,验证了其假设.

结论:

  • 一个简单的非参数模型可以在认知任务中预先可靠地预测错误RT特征.
  • 该模型在一般化冲突任务中的成功支持了过程多重性的假设.
  • 这种方法为生成和测试关于认知控制和决策的假设提供了一个新的框架.