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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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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...
249
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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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...
398
Metacognition01:26

Metacognition

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Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
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Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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相关实验视频

Updated: Sep 20, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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积极推断和认知控制:通过精确优化来平衡思考和习惯.

Riccardo Proietti1, Thomas Parr2, Alessia Tessari3

  • 1Institute of Cognitive Sciences and Technologies, National Research Council, Via San Martino della Battaglia 44, Rome 00185, Italy.

Physics of life reviews
|May 27, 2025
PubMed
概括

我们介绍了一种使用主动推理的新认知控制理论. 该模型优化了精度参数,以平衡故意和习惯性的行为,提高了情境敏感性和习惯暂停,以便更好地做出决策.

关键词:
积极的推理推理.关注行动,注意行动.认知控制 认知控制多巴胺是一种多巴胺.精神上的努力精神上的努力.

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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice
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相关实验视频

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科学领域:

  • 计算神经科学是一种神经科学.
  • 认知科学 认知科学
  • 人工智能的人工智能

背景情况:

  • 认知控制对于适应性行为至关重要,平衡故意和习惯性行动选择.
  • 现有的主动推理模型与上下文敏感的控制斗争,特别是从习惯性回归到故意的行动.

研究的目的:

  • 在主动推理框架内提出一种新的认知控制公式.
  • 解决在情境敏感控制和习惯暂停中标准主动推理的局限性.

主要方法:

  • 开发了一种具有元认知控制的等级主动推理模型.
  • 模拟了一种驾驶场景,以测试适应性习惯形成和暂停.
  • 模拟了多巴胺通路,ACC和位的神经生物学动态.

主要成果:

  • 这种新型号成功地通过精确参数平衡了深思熟虑和习惯性控制.
  • 超认知层面可以启动和暂停习惯,增强上下文敏感性.
  • 关键的认知控制过程源于自由能量最小化原理.

结论:

  • 层次主动推理为理解认知控制提供了一个统一的框架.
  • 这种表述解释了习惯形成,暂停和上下文切换.
  • 该模型为认知控制机制提供了一个神经生物学上可信的解释.